Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
Packt Publishing - ebooki
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This book offers actionable insights and expert guidance to help you unlock the power of generative AI. Explore its ethical applications, implementation strategies, and transformative potential for informed decision-making.- PDF + ePub pkt
Unleashing the Power of Data with Trusted AI. A guide for board members and executives Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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524.25 zł
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Deep Learning for Time Series Cookbook covers several time series problems, and how to tackle them using deep learning in a set of coding recipes. These recipes will enable you to develop accurate forecasting models using the PyTorch ecosystem.- PDF + ePub pkt
Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
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This book will help you explore data mesh from theory to strategy, where you’ll implement this approach based on your analytics framework's maturity. You'll cover design, architecture, challenges, and common patterns for analytical workloads.- PDF + ePub pkt
Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework
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Boost your analytics engineering journey with this comprehensive guide, written by 7 industry experts. This book is an indispensable resource that arms you with all the knowledge, skills, and insights you need to excel in this rapidly evolving field.- PDF + ePub pkt
Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira, Pádraic Slattery
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The Definitive Guide to Data Integration is for data eclectics looking to explore the modern data stack. Complete with practical examples and insights, it covering tools, techniques, and best practices to unleash your data's potential.- PDF + ePub pkt
The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
Pierre-Yves BONNEFOY, Emeric CHAIZE, Raphaël MANSUY, Mehdi TAZI, Stephane Heckel
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Mastering Data transformation is essential for enhancing their data models and business intelligence. The Definitive Guide to Power Query equips you with the knowledge and skills to master the tool while leveraging its remarkable capabilities.- PDF + ePub pkt
The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
Gregory Deckler, Rick de Groot, Melissa de Korte, Brian Julius
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Dancing with Qubits, Second Edition, is a quantum computing textbook that explains how quantum computing works in detail and discusses the implications it has for computer applications of the future.- PDF + ePub pkt
Dancing with Qubits. From qubits to algorithms, embark on the quantum computing journey shaping our future - Second Edition Dancing with Qubits. From qubits to algorithms, embark on the quantum computing journey shaping our future - Second Edition
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The book provides a hands-on approach to creating dashboards for various workplace and business scenarios, extensive coverage of the game-changing features in M365 Excel, and best practices that will have you up and running quickly.
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Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
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Approach data science interviews with confidence with this one-stop guide focused on Python programming, SQL, shell/bash, version control, statistics, and ML modeling. No need to scan the internet for technical interview prep material—it’s all here!
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Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
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This book is a compilation of essential background knowledge, tools, techniques, and applied examples needed to implement data-centric ML. Learn how to apply a best-practice data-centric approach in your work with this informative guide.
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
Jonas Christensen, Nakul Bajaj, Manmohan Gosada, Kirk D. Borne
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Unlock the benefits of Power BI’s data cleaning capabilities to simplify the process of preparing data for analysis with this guide to transforming your data using tools like DAX, PowerQuery, and M language to build compelling visualizations.
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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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The book provides a foundation of building intuitive dashboards using Kibana 8.x and application of data analysis techniques to research, mine and aggregate information to convey business insights and improve decision making.
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Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana
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Gain an overview of Microsoft Fabric and designing and building analytics systems for various use cases, including lakehouses, data warehouses, real-time analytics, and data science, while also boosting developers' productivity through Copilot integration.
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Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
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This book provides a comprehensive guide to leveraging the immense potential of transformers for NLP and vision tasks. It covers the architectural innovations that have led to unprecedented natural language capabilities, along with the associated risks and mitigation strategies.
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Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition
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With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premises. You’ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with ADF
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Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
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Master data stewardship with industry best practices for building an effective data governance framework to optimize your workforce, processes, and technology, and elevate your organization's data maturity.
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Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
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Learn new techniques to ingest, transform, merge, and deliver trusted data to downstream users using modern cloud data architectures and Scala, and learn end-to-end data engineering that will make you the most valuable asset on your data team.
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Principles of Data Science provides an end-to-end framework for cultivating critical thinking about data, performing practical data science, building performant machine learning models, and mitigating bias in AI pipelines. Learn the fundamentals of computational math and stats while exploring modern machine learning and large pre-trained models.
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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Elevate your data quality monitoring and successfully implement data observability practices in your teams in a scalable way with this practical guide to addressing data issues, fostering improved collaborating post-adoption of these techniques.
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Gain in-depth knowledge of the essential resources and tools required to extract valuable insights from blockchain data with this comprehensive guide empowering you to contribute to the evolution of the next-generation internet.
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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
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The Deep Learning Architect’s Handbook covers everything you need to master all aspects of deep learning. This hands-on guide will enable you to create innovative real-world applications, transforming the world into a more productive environment.
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The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques
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The Definitive Guide to Google Vertex AI is for ML practitioners who want to learn Google best practices, MLOps tooling, and turnkey AI solutions for solving large-scale real-world AI/ML problems. This book takes a hands-on approach to help you become an ML rockstar on Google Cloud Platform in no time.
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The Definitive Guide to Google Vertex AI. Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices The Definitive Guide to Google Vertex AI. Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices
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Through Kaggle Notebooks, this book teaches beginners and experienced Kagglers data analysis and the ML pipeline. With seven steps covering several techniques and competition datasets, you'll be able to compete in Kaggle competitions successfully.
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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This book focuses on Grafana 10.x's features for creating interactive dashboards to visualize and monitor data. Throughout the book, you’ll explore the administrative aspects of Grafana and work with various plugins, enhancing your skills to query, visualize, and understand your metrics while making the most of the newly improved security fe
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Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
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Data Modeling with Microsoft Excel is a practical guide to unlocking the benefits of Microsoft Excel’s Data Model. The book simplifies the data modeling process to help you master effective ways to build relational data from multiple sources in Excel, create DAX and Cube calculations, and apply your learnings to build an interactive dashboar
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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This book will help you master the art of predicting outcomes when datasets are imbalanced and where the most important class is under-represented. You’ll learn the skills you need to overcome challenges when dealing with imbalanced datasets for both traditional machine learning and deep learning models.
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Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
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NLP for Practitioners with Elastic is a foundational guide that helps you get to grips with the fundamentals of vectors and embedding models. Using a hands-on approach, you’ll be able to enhance your search use case with vector search using Elastic. The book covers kNN search, NLP capabilities, and the current state of vector search database
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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Data Exploration and Preparation with BigQuery is a comprehensive guide to working with data preparation tools and strategies using BigQuery as a modern data warehouse solution. Through hands-on exercises and projects, you’ll leverage your BigQuery proficiency to overcome common challenges faced by data analysts.
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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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Learn key databricks features like AutoML and MLflow and deploy serverless models with ease with this comprehensive guide. The book helps you build a strong foundation and sets you up to adapt easily to future ML innovations.
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Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks
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The book is a practical guide that’ll help you prepare to successfully break into the data engineering role. The chapters cover technical concepts as well as tips for resume, portfolio, and brand building to catch the employer's attention, while also focusing on case studies and real-world interview questions.
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Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
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Alteryx Designer Cookbook is a comprehensive guide with a collection of practical and easy-to-follow recipes for a wide range of topics in Alteryx Designer, including data cleansing, and data blending. It is designed to help you implement these techniques in your projects and gain insights from your data quickly and efficiently
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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PostgreSQL has become a widely adopted database engine thanks to its robust enterprise capabilities. This edition will not only help you get up and running with the latest changes in PostgreSQL but will also focus on its most important features; like transactions, security, replication, backup and restore, extensions and more.
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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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Machine learning is rapidly transitioning to synthetic data solutions, yet comprehensive resources to understand its uses are scarce. Synthetic Data for Machine Learning is a pioneering, comprehensive book covering synthetic data generation approaches, case studies, best practices, hands-on examples, and above all, how to use it to solve your own
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Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
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Building ETL Pipelines in Python covers the process of creating robust and scalable ETL pipelines from scratch. The book explores all the tools and technologies available to create robust ETL pipelines along with real-world examples and practical implications.
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Modern Data Architectures with Python allows you to adopt a hands-on approach to learning the latest data tooling and techniques needed for architecting data solutions. The topics covered in this book, along with practical examples, will radically transform your data practice.
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Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
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Practical Data Quality offers a comprehensive view of managing data quality in your organization – from the business case through to permanently embedding improvements you make in the organization. The authors use real-world examples throughout and provide re-usable templates to accelerate your initiatives.
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Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization
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Streamlit for Data Science takes you through the basics of data app development, prototyping machine learning models, and deploying Streamlit apps. It walks you through practical, actionable examples using project-based learning.
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Streamlit for Data Science. Create interactive data apps in Python - Second Edition Streamlit for Data Science. Create interactive data apps in Python - Second Edition
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The book emphasizes intuitive ideas behind quantum algorithms in ways that other books don’t cover, striking a careful balance between no math and too much math. To get the most from this book, you should be comfortable with basic algebra and writing simple computer code. No prior understanding of quantum physics is needed to get started.
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Quantum Computing Algorithms. Discover how a little math goes a long way Quantum Computing Algorithms. Discover how a little math goes a long way
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This is a reference handbook that’ll enable enterprise data and AI architects to create best-in-class architectures for data engineering, data science, data warehousing, and data serving on Azure. This book also serves as a reference to help cloud architects to understand the operations required for building optimal architectures.
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Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure
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Data wrangling involves cleaning and organizing complex data sets for analysis. This book guides you in connecting to AWS services and using its data wrangling tools for effective data analytics, even when the data sources are multiple and organizing it might look challenging.
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Data Wrangling on AWS. Clean and organize complex data for analysis Data Wrangling on AWS. Clean and organize complex data for analysis
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This book is an essential guide for anyone seeking to transform raw, unstructured data into meaningful insights. It simplifies the complex process of data wrangling by leveraging SQL commands such as aggregate functions, subqueries, and window functions, and is suitable for professionals looking to master the art of data wrangling.
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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AI is a tool that demands a deeper understanding of where and how to use it. By becoming Citizens of Data Science, we can actively participate in where and how AI is used to improve the human condition. With the help of this guide, you’ll get to grips with the relevant AI and data concepts that will help you make the most of the AI revolutio
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AI & Data Literacy. Empowering Citizens of Data Science AI & Data Literacy. Empowering Citizens of Data Science
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This book shows you how dbt makes it easy to build professional data platforms using simple SQL. You’ll learn about the use of patterns, tests, and architecture in dbt to break the complexity of a data platform in its components, to let dbt handle the boilerplate code, and support automation and collaboration in your team with your git provi
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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This comprehensive guide explores the benefits of using data contracts to improve data quality in modern data platforms. With a focus on accountability and governance, this book provides practical tips and best practices for implementing data contracts in your organization and building a true data-driven culture.
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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This book provides a comprehensive introduction to Bayesian deep learning methods for machine learning researchers and practitioners. It discusses the importance of uncertainty in machine learning, covers numerous methods for uncertainty-aware deep networks, and provides detailed code examples in Python to assist you throughout your exploration.
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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
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Exploratory Data Analysis in Python is a practical resource that helps you to learn techniques, libraries, and steps for uncovering patterns and actionable insights embedded in tabular, time series, and textual data. This book gets you started with implementing the various EDA techniques for data analysis or ML projects using Python.
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Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
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This book teaches you how to manage and analyze your geospatial data using the cloud. You’ll discover how to ingest, manage, and analyze geospatial data from various sources using S3, DynamoDB, RDS, Redshift, and Athena, along with exploring powerful location-based services like geocoding, routing, and geofencing using Amazon Location Servic
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Graph Data Modeling with Python is your guide to building real-world use cases of how to prepare graph data for modeling, converting tabular to graph data structures, and working through simple graph use cases using degree centrality. Using the Python packages igraph and NetworkX, you’ll build your skills in various types of graph analytics.
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Natural language understanding can address a wide range of problems, from managing smart homes to chatbots to creative writing. Natural Language Understanding with Python covers the full range of techniques for understanding natural language, including the new large language models. With clear explanations and examples, this book will equip you to
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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The Data Ingestion with Python Cookbook presents a collection of practical recipes to help you get started with the process of data ingestion from various sources or data files. This book offers a range of code recipes and solutions for creating efficient data ingestion pipelines while addressing common issues related to it.
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Modeling guides are often steeped in theory and formal language. The innovative approach taken in Data Modeling with Snowflake combines practical modeling concepts with Snowflake best practices and unique features, allowing you to create efficient designs that leverage the power of the Data Cloud.
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Agile development and quick time-to-market deployments are crucial for competitive markets and dynamic needs, and deploying artificial intelligence technologies in microservices architecture creates flexible and adaptive systems. This practical guide helps developers and architects to design and deploy intelligent microservices systems.
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Robo-Advisor with Python is a hands-on book for professionals with an interest in digital wealth management and goal-based investing. You’ll learn and build all the key features of a typical robo-advisor, whether you plan to build one to manage your own money or run a platform for retail investors.
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Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
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Data Wrangling with R covers the most modern ways to make data ready for exploration or modeling in detail. The book covers libraries from the tidyverse package, such as tidyr, dplyr, ggplot2, and lubridate to help you prepare your data for analysis. You’ll also explore data visualization and modeling to create better graphics and projects w
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Learn Azure Synapse Data Explorer covers advanced analytics and data science scenarios with the use of free-text and semi-structured data from an application log and device telemetry. The book takes an end-to-end approach to work with data ingestion and data science experiments through dashboarding.
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Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
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Data Analytics using Splunk 9. x provides a detailed walk-through of the improvements introduced in Splunk 9 with the help of practical examples. It not only teaches you to create visualizations with Splunk 9. x but also takes you through the advanced features of clustering, administration, data modeling, federated search, and container management.
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Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
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Mastering the art of model serving is a crucial yet daunting task in the realm of machine learning. This comprehensive guide equips you with knowledge of various model serving techniques to seamlessly bring your machine learning models to fruition, while also highlighting the best practices in model deployment.
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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CompTIA Data+: DAO-001 Certification Guide walks you through every concept covered in the new CompTIA exam with simple, a step-by-step explanations. Complete with exam tips, practical exercises, mock exams, and exam objective mappings, this is the perfect study guide to help you obtain Data+ certification
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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Cypher is a great language to express graph traversals, but it still requires a bit of change in the thinking process to write performant cypher queries. This book will help to get the best out of neo4j using cypher language and its capabilities.
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Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
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The Art of Data-Driven Business is a practical guide to understanding the intricacies of powering your business decisions with machine learning algorithms backed by the might of Python. The techniques you’ll learn in this book will enable you to make the best possible decisions based on a data-driven approach.
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Microsoft Power BI Quick Start Guide, Third Edition, gets you up to speed with Power BI quickly, enabling you to derive actionable insights from your data using the data visualization capabilities of Microsoft Power BI within a short span of time and help your business make better decisions.
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
Devin Knight, Erin Ostrowsky, Mitchell Pearson, Bradley Schacht
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Modern Time Series Forecasting with Python is a timely book that goes beyond popular classical time series techniques such as ARIMA and exponential smoothing and embraces modern high-performant techniques like machine learning. You’ll discover tested tips and tricks to advance your skillset and make you industry-ready in time series forecast
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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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Machine learning and Python offer unique opportunities to process text data. This book will equip you with the skills you need to undertake a role in the field. The content keeps the right balance between need-to-know theory and hands-on practice, grounding the discussion around different case studies.
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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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Python Feature Engineering Cookbook, Second Edition will give you the practice, tools, and techniques to streamline your feature engineering pipelines and simplify and improve the quality of your code. With more than 70 methods to transform or create variables, you will find solutions tailored to different datasets and machine learning models.
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Neural Search, from Prototype to Production with Jina covers the important tools in deep learning–powered search infrastructure for building cross- and multi-modal search systems, including text, images, video, and audio, distributed on the cloud.
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
Bo Wang, Cristian Mitroi, Feng Wang, Shubham Saboo, Susana Guzmán
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This is a must-have book for developers and architects who want to understand the core skills that a Java professional should have to become a data architect in order to create effective architectures. You’ll be able to pick up industry best practices if you’re an aspiring Java data architect who wants to easily achieve their goal.
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Serverless ETL and Analytics with AWS Glue acts a single resource, providing a holistic view of the various features of Glue, and teaches you how to use each one of them. This book helps you to understand the entire process of building data lakes using AWS Glue and other AWS services.
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur
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This book provides a one-stop solution for diving deep into data analytics with SQL. You'll also understand how to extract business insights from huge unorganized data.
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time analyzing it. Efforts put into cleaning data are crucial, since analyzing dirty data can lead to inaccurate decisions. This is a critically timed book that will help you identify, diagnose, and treat data cleaning problems in Python, with advanced ML t
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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This book will give you a gradual introduction to quantum algorithms and quadratic models and explore the possibilities of future quantum advantages. With the help of illustrations and code examples, the book will walk you through different kinds of quantum computing devices, show you how to build QUBOs and quantum circuits, and help solve real-wor
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Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
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This book is a practical guide for creating and executing data and ML pipelines using the open protocol Delta. Simplifying Data Engineering and Analytics with Delta focuses on helping you make the right architecture choices and providing a hands-on approach to implementation and associated methodologies that will have you up and running in no time.
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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This book teaches you how to use MLflow to support deep learning life cycle development with step-by-step instructions. You’ll build NLP solutions from scratch and implement scalable deep learning pipelines from initial offline experimentation to production with coherent provenance tracking for code, data, models, and explainability.
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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This book is written for developers who want to start using feature stores. This is a comprehensive overview that will teach you how to store, transform, curate, and share features. With the help of practical examples, you’ll learn best practices for training, inference, and reusing features for other ML pipelines.
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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From planning a Power BI solution to building scalable Power BI datasets and rich, interactive reports and dashboards, this comprehensive book is an end-to-end guide to Power BI.
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Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
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Whether you’re a developer or a data scientist, working with large amounts of data can be a challenge. This book focuses on describing Apache Arrow’s format and data types and the benefits of using it to accelerate data manipulation. You’ll get to grips with topics such as Spark, Jupyter, Arrow Flight, and FlightSQL.
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In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data
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Domo is a power-packed BI and custom app development cloud platform that empowers organizations of all sizes to perform effective analysis in minutes. With the help of this book, you’ll be able to intake data from any source, merge it with other relevant data, and publish an amazing visual story using Domo that will get you noticed.
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Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
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This workshop will teach you how to tackle modern data problems and derive value from complex datasets using the pandas library. You will gain the knowledge and skills to process a variety of data types and kickstart your Python data science career.
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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This book uses real-life datasets from Kaggle to explain basic statistics for machine learning for data segmentation, regression predictions, and forecasts. You’ll focus on variable dependency and autocorrelation to build, test, and use a linear regression prediction model and time series forecasts.
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Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
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This book is a modern presentation of quantum chemical concepts and how it relates to quantum computing to solve problems, focusing on a basic understanding of matter and the building blocks of molecules. We take a deep dive into the postulates of quantum mechanics and highlight the mathematics involved to solve problems.
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Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code
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This book will take you through the out-of-the-box AI features in Power BI, showing you how to create your own AI model and integrate it into Power BI. You’ll be able to quickly and easily enrich your data and gain better insights into patterns that can be found in your data by training your own AI model.
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Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
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This book will introduce you to the basics of PyTorch Lightning and how you can build deep learning models from scratch. You'll learn techniques for building a variety of model network architecture, debugging them, and tuning them by utilizing some of the advanced features of the PyTorch Lightning framework to research and invent new methods.
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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The Tableau Workshop gets you up and running with data processing, analytics, and visualization using Tableau. With plenty of practical exercises and activities, you'll quickly learn the fundamentals of presenting data effectively and be well prepared to deliver business insights through visual analytics.
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau The Tableau Workshop. A practical guide to the art of data visualization with Tableau
Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC Gillet, Kenneth Michael Cherven
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Start your quest in quantum computing the right way with an understanding of the math that undergirds it, or come back to the math you may have missed when you started learning quantum computing. This book covers linear algebra, complex numbers, and probability - just enough for you to master all the math needed for quantum computing.
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Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
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Microsoft Power BI Performance Best Practices will help developers and solution architects make architectural design choices that ensure solutions are efficient and can perform at high user and data scale. You’ll learn with the help of unique tips and tricks along with best practices that will enable you to optimize every layer of Power BI.
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Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
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Packed with hands-on examples, this book will help you perform key tasks such as ingesting, transforming, and consuming data to build end-to-end data pipelines with GCP. By the end of this book, you'll be well-versed with various GCP tools that can boost your data engineering career in no time.
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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Developers working with machine learning will be able to put their knowledge to work with this practical guide to Amazon SageMaker Studio. The book takes a hands-on approach to implementing real-world machine learning use cases that will have you up and running quickly.
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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
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This book will take you through the Amazon EMR architecture, features, and common use cases or problem statements it solves. You’ll discover how to configure it in production with scaling, monitoring, and security best practices, while also understanding different implementations of batch, real-time streaming, and interactive analytics workl
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Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
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This book will guide you through the core components of the Elastic Stack and how they work together to solve your data problems. You’ll look at how the stack can be best leveraged to build and deliver powerful solutions to tackle real-world search, observability, and cybersecurity use cases.
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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
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Pachyderm enables you to create collaborative data science workflows and reproduce your experiments at scale. This book will help you leverage Pachyderm's data versioning and lineage features to build scalable end-to-end AI/ML pipelines and show you how to deploy Pachyderm in leading cloud platforms, use its SaaS offering PachHub, and much more.
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0 Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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This book is a comprehensive introduction to modern data architecture for analytics, focusing on implementing the Data Lakehouse architecture for large-scale analytics in a scalable, agile, and cost-effective manner. With the help of practical explanations, you’ll be able to apply the frameworks introduced in this book within your organizati
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Data Lakehouse in Action. Architecting a modern and scalable data analytics platform Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
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Developers working with large amounts of data on Azure, including App Insights and Log Analytics, will be able to put their knowledge to work with this practical guide. The book focuses on Azure Data Explorer, covering topics such as data ingestion from multiple sources and querying and generating reports to make data-driven decisions.
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Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
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The DP-203: Azure Data Engineer Associate Certification Guide offers complete coverage of the DP-203 certification requirements so that you can take the exam with confidence. Going beyond the requirements for the exam, this book also provides you with additional knowledge to enable you to succeed in your real-life Azure data engineering projects.
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Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam
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Enter the world of self-service business intelligence and become the data hero in your organization, or build a promising new data career. In this second edition, you’ll learn how to cleanse data, build data models, and use the advanced analysis capabilities of Power BI to create business value by unlocking key insights contained in your dat
- PDF + ePub
- Audiobook MP3 pkt
Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
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Product and service teams benefit tremendously by using unstructured data, and that's where Commerce.AI comes in, merging machine learning, product expertise, and big data to help businesses make accurate decisions using the world's largest unstructured data engine. This book shows you how to use AI to gain insights like never before.
- PDF + ePub
- Audiobook MP3 pkt
AI-Powered Commerce. Building the products and services of the future with Commerce.AI AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Whether you're a data analyst new to programming or already familiar with it, this book will teach you the optimum techniques for data preprocessing from both technical and analytical perspectives. You'll explore the world of advanced data manipulation and preprocessing techniques to create successful data analytic solutions.
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Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics
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This book will help analysts get the most out of Microsoft Business Intelligence tools with DAX. With expert-led examples and approachable theoretical explanations, you'll deepen your understanding of DAX and achieve good business modeling design.
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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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Developers and architects looking to work with API Connect will be able to put their knowledge to work with this practical guide to API-led digital transformation. The book provides real-world business scenarios to help you create, secure, and deploy APIs so that they can be socialized with consumers, managed in the DevOps pipelines, and monitored
- PDF + ePub pkt
Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
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This book will help you on your journey toward architecting and building data engineering pipelines on AWS. You'll learn about (and get hands-on with) AWS services for ingesting, transforming, and consuming data. Whether you're new to data engineering or just new to data engineering on AWS, this book will be an invaluable guide.
- PDF + ePub pkt
Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
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The book takes a hands-on approach to speeding up your Spark jobs and data processing by covering the implementation and associated methodologies that will have you up and running in no time. Developers working with Databricks and Spark will be able to put their knowledge to work with this practical guide to optimizing workloads.
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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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This Workshop will teach you how to build deep learning models from scratch using real-world datasets with the TensorFlow framework. You will gain the knowledge you need to process a variety of data types, perform tensor computations, and understand the different layers in a deep learning model.
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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This book will help you to work with data ingestion and data transformation extensions, and bypass Power BI's shortcomings in data augmentation and data visualization using Python and R programming. You’ll understand insights and create interactive custom visuals using analytical languages with the help of hands-on examples.
- PDF + ePub + Mobi pkt
Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
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Dataverse for Teams is a revolutionary platform that brings the low-code revolution to Teams with the power of CDN. The book will help you to build no-code apps for multiple platforms, such as iOS, Android, and the web, without the complexities of computer programming, and develop impressive problem-solving skills to add to your resume.
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Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform
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Essential PySpark for Scalable Data Analytics is an introduction for anyone new to the distributed computing model. You'll learn to unlock the analytics world by building end-to-end data processing pipelines, starting with data ingestion, cleansing, and integration, through to data visualization and building and operationalizing predictive models.
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Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3 Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3
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Discover the roadblocks you may face in data engineering and keep up with the latest trends such as Delta Lake. This book will help you learn how to build data pipelines that can auto-adjust to changes. Using practical examples, you will implement a solid data engineering platform that will streamline data science, ML, and AI tasks.
- PDF + ePub + Mobi pkt
Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Power Query provides an easy-to-use GUI that allows you to achieve powerful data transformations within the M programming language. This book will show you how easy it is to learn the M language and its many AI-powered functions for auto-generating M code. It will also prepare you to use complex M functions.
- PDF + ePub + Mobi pkt
Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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This book takes you through the concepts of the FastAPI framework, including its powerful dependency injection system. You’ll learn how to build tested and reliable data science apps in Python using FastAPI, train machine learning models, and deploy them to the web.
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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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LaTeX is high-quality open-source typesetting software that produces professional prints and PDF files. With this book, you'll learn to fine-tune texts page layouts, create professional-looking tables, include figures, and write complex mathematical formulas. You'll also be able to manage complex documents and so much more with modern PDF features.
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LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
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Power BI is a business intelligence and analytics services tool by Microsoft designed to provide visual and interactive insights into data. This book will provide thorough, technical examples of using all primary Power BI tools and features as well as demonstrate high impact end-to-end solutions that leverage and integrate these technologies and se
- PDF + ePub + Mobi pkt
Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
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Affinity Designer is a powerhouse design and illustration application popular for its speed and smooth interface. With this hands-on, easy-to-follow guide, you'll build a solid foundation in Affinity Designer and a base for in-depth exploration, while also gaining the confidence and knowledge to add Affinity Designer to your creative toolset.
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Up and Running with Affinity Designer. A practical, easy-to-follow guide to get up to speed with the powerful features of Affinity Designer 1.10 Up and Running with Affinity Designer. A practical, easy-to-follow guide to get up to speed with the powerful features of Affinity Designer 1.10
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Building Data-Driven Applications with Danfo.js enables you to manipulate, analyze, and wrangle structured data in JavaScript environments. If you’re a JavaScript developer working with data, this book will serve as a practical guide to using Danfo.js.
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Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript
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Deep Learning with fastai Cookbook helps you to quickly apply fastai to create deep learning applications. This recipe-based book teaches you how to use fastai for each of the four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data.
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Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
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This book on marketing analytics with Python will quickly get you up and running using practical data science and machine learning to improve your approach to marketing. You'll learn how to analyze sales, understand customer data, predict outcomes, and present conclusions with clear visualizations.
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Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali
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Data Processing with Optimus helps you learn how to load, clean, and transform data easily with Optimus. This book is a step-by-step guide for preparing data to perform key data science tasks such as machine learning, analytics, feature engineering, and reporting to help you to build end-to-end real-world applications with ease.
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Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
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This book takes away the fear of working with, analyzing, and visualizing data. Understand the key concepts involved with data analytics while working with real-world business examples. You are introduced to two fantastic tools to cleanse and analyze data (KNIME) and visualize your insights (Microsoft Power BI), but the principles from this book ca
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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3D Graphics Rendering Cookbook is your practical guide to learning modern graphics rendering algorithms and techniques using C++ programming and APIs such as OpenGL and Vulkan. This cookbook is also useful for seasoned classic OpenGL developers who want to migrate their apps to modern OpenGL versions or Vulkan.
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3D Graphics Rendering Cookbook. A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan 3D Graphics Rendering Cookbook. A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan
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Getting Started with Streamlit for Data Science takes you from the basics of web app development in the Streamlit library and machine learning model deployment in Heroku and AWS. The book shows you how you can use Streamlit for a variety of projects to improve job applications and resumes and much more.
- PDF + ePub + Mobi pkt
Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
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This book covers the fundamentals of how to provide context to your marketing data and derive data-driven insights using Python. It equips you with the tools and techniques you need to use on specific datasets to answer marketing questions.- PDF + ePub pkt
Data Analytics for Marketing. A practical guide to analyzing marketing data using Python Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
(92,88 zł najniższa cena z 30 dni)
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Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.- PDF + ePub pkt
Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
(121,68 zł najniższa cena z 30 dni)
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This book will teach you how to streamline your workflow, execute statistical analysis, create powerful visualizations, and integrate R and Python into Excel for maximum efficiency to make informed business decisions faster than ever.- PDF + ePub pkt
Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
(92,88 zł najniższa cena z 30 dni)
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This book covers mathematical foundations & advanced techniques for NLP, machine learning, and LLMs. It provides complete NLP system design in Python code and includes expert opinions on future trends to help you solve real-world business problems.- PDF + ePub pkt
Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
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