Uczenie maszynowe stanowi jeden z najbardziej fascynujących i dynamicznie rozwijających się obszarów technologii informatycznej. W księgarni internetowej helion.pl oferujemy szeroki zakres książek oraz kursów video, które pomogą Ci zgłębić tajniki tej dziedziny.
Uczenie maszynowe
Książki, ebooki, kursy video z kategorii: Uczenie maszynowe dostępne w księgarni Helion
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Promocja
The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners- ePub + Mobi pkt
(245,65 zł najniższa cena z 30 dni)
245.65 zł
289.00 zł(-15%) -
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With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robus- ePub + Mobi pkt
(245,65 zł najniższa cena z 30 dni)
245.65 zł
289.00 zł(-15%) -
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Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to ac- ePub + Mobi pkt
(245,65 zł najniższa cena z 30 dni)
245.65 zł
289.00 zł(-15%) -
Promocja
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforceme- ePub + Mobi pkt
Machine Learning and Data Science Blueprints for Finance Machine Learning and Data Science Blueprints for Finance
(211,65 zł najniższa cena z 30 dni)
220.15 zł
259.00 zł(-15%) -
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Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early- ePub + Mobi pkt
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Promocja
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database model- ePub + Mobi pkt
Graph-Powered Analytics and Machine Learning with TigerGraph Graph-Powered Analytics and Machine Learning with TigerGraph
(203,15 zł najniższa cena z 30 dni)
211.65 zł
249.00 zł(-15%) -
Promocja
Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing d- ePub + Mobi pkt
(245,65 zł najniższa cena z 30 dni)
245.65 zł
289.00 zł(-15%) -
Promocja
Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure processing. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating tr- ePub + Mobi pkt
(245,65 zł najniższa cena z 30 dni)
245.65 zł
289.00 zł(-15%) -
Promocja
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover- ePub + Mobi pkt
(245,65 zł najniższa cena z 30 dni)
245.65 zł
289.00 zł(-15%) -
Promocja
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.You'll understand how to implement the most common scenarios- ePub + Mobi pkt
(203,15 zł najniższa cena z 30 dni)
211.65 zł
249.00 zł(-15%) -
Promocja
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work.RStudio enginee- ePub + Mobi pkt
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Promocja
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-base- ePub + Mobi pkt
Machine Learning for Financial Risk Management with Python Machine Learning for Financial Risk Management with Python
(245,65 zł najniższa cena z 30 dni)
245.65 zł
289.00 zł(-15%) -
Promocja
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.Laurence Moroney, lead AI advocate at Google- ePub + Mobi pkt
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Promocja
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniq- ePub + Mobi pkt
Practical Time Series Analysis. Prediction with Statistics and Machine Learning Practical Time Series Analysis. Prediction with Statistics and Machine Learning
(211,65 zł najniższa cena z 30 dni)
220.15 zł
259.00 zł(-15%) -
Promocja
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues- ePub + Mobi pkt
Machine Learning and Security. Protecting Systems with Data and Algorithms Machine Learning and Security. Protecting Systems with Data and Algorithms
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Promocja
Niniejsza książka jest przystępnie napisanym podręcznikiem, dzięki któremu poznasz niektóre zaawansowane techniki uczenia maszynowego. Szczególną uwagę poświęcono tu algorytmom uczenia maszynowego: zostały dokładnie wyjaśnione, opisano ich zastosowanie oraz topologię, metody uczenia i miary wydajności. Każdy rozdział uzupełniono o wykaz źródeł, pom- Druk
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(34,20 zł najniższa cena z 30 dni)
37.05 zł
57.00 zł(-35%) -
Promocja
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learni- ePub + Mobi pkt
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Promocja
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.This book introduces the key- ePub + Mobi pkt
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
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If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. This guide helps data scientists build production-- ePub + Mobi pkt
(143,65 zł najniższa cena z 30 dni)
143.65 zł
169.00 zł(-15%) -
Promocja
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that- ePub + Mobi pkt
(211,65 zł najniższa cena z 30 dni)
220.15 zł
259.00 zł(-15%) -
Promocja
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices al- ePub + Mobi pkt
Building Machine Learning Powered Applications. Going from Idea to Product Building Machine Learning Powered Applications. Going from Idea to Product
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Promocja
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny dev- ePub + Mobi pkt
TinyML. Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers TinyML. Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
Promocja
Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually.Delve into differ- ePub + Mobi pkt
Designing Data Visualizations. Representing Informational Relationships Designing Data Visualizations. Representing Informational Relationships
(46,74 zł najniższa cena z 30 dni)
50.91 zł
59.90 zł(-15%) -
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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Promocja
Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitor- ePub + Mobi pkt
(211,65 zł najniższa cena z 30 dni)
220.15 zł
259.00 zł(-15%) -
Promocja
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create product- ePub + Mobi pkt
(245,65 zł najniższa cena z 30 dni)
245.65 zł
289.00 zł(-15%) -
Promocja
Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads--a process Kubeflow makes much easier. This practical book shows data scientists, data engineers, and platform architect- ePub + Mobi pkt
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Promocja
Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data.Data engineers and scientists will explore ways to add SAP data- ePub + Mobi pkt
Practical Data Science with SAP. Machine Learning Techniques for Enterprise Data Practical Data Science with SAP. Machine Learning Techniques for Enterprise Data
(211,65 zł najniższa cena z 30 dni)
220.15 zł
259.00 zł(-15%) -
Machine Learning for OpenCV 4, Second Edition will help the readers to implement and train machine learning algorithms with OpenCV 4 and scikit-learn in Python. By the end of this book, you will be able to build intelligent applications with OpenCV 4 using various optimization techniques for your machine learning algorithms.
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Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition
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Q-learning is the reinforcement learning approach behind Deep-Q-Learning and is a values-based learning algorithm in RL. This book will help you get comfortable with developing the effective agents for Q learning and also make you learn to effectively develop and deploy Deep Q networks for complex AI applications.
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Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
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Promocja
The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Face- ePub + Mobi pkt
The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
(211,65 zł najniższa cena z 30 dni)
220.15 zł
259.00 zł(-15%) -
Promocja
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problem- ePub + Mobi pkt
Deep Learning Cookbook. Practical Recipes to Get Started Quickly Deep Learning Cookbook. Practical Recipes to Get Started Quickly
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Promocja
Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Sci- ePub + Mobi pkt
Thoughtful Machine Learning with Python. A Test-Driven Approach Thoughtful Machine Learning with Python. A Test-Driven Approach
(135,15 zł najniższa cena z 30 dni)
135.15 zł
159.00 zł(-15%) -
Promocja
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-o- ePub + Mobi pkt
Machine Learning for Hackers. Case Studies and Algorithms to Get You Started Machine Learning for Hackers. Case Studies and Algorithms to Get You Started
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
Nowość
This book will help you use a set of optimization techniques and strategies to speed up the training process of ML models. You’ll learn how to identify performance bottlenecks, decide the most suitable approach, and implement the correct solution.- PDF + ePub pkt
Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process
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Nowość
This latest edition emphasizes AI risk management, the AI/ML adoption journey, and the emerging field of generative AI, highlighting the increasing importance of developing secure and scalable ML platforms across industries.- PDF + ePub pkt
The Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition The Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition
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Nowość
Hone your machine learning skills to unlock robust models with less data through active machine learning. Tame messy datasets, conquer concept drift, and drive ML productivity with Python's active learning toolkit.- PDF + ePub pkt
Active Machine Learning with Python. Refine and elevate data quality over quantity with active learning Active Machine Learning with Python. Refine and elevate data quality over quantity with active learning
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Nowość
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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Dive into machine learning with our course, designed to guide you in building your own recommender system using Scikit-Learn, complete with practical datasets and ethical considerations.
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Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights
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Dive into the world of Machine Learning with Python, exploring essential algorithms, data scrubbing techniques, and model design to unlock the potential of AI and data science.
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Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning
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Promocja
Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With this hands-on guide, product managers, data analysts, and data scientists will learn how to add value to data by cleansing, analyzing, and resolving datasets using open source Python libraries and cloud API- ePub + Mobi pkt
(203,15 zł najniższa cena z 30 dni)
211.65 zł
249.00 zł(-15%) -
Discover data labeling methods through Python libraries, ML algorithms, and generative AI with this guide covering best practices, advanced methods, and tools. This book will simplify model training for regression, classification, and clustering.
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Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
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Machine learning is an important driver of innovation in software products. This book will help you take your machine learning prototype to the next level and scale it up using concepts such as data provisioning, processing, and quality control.
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Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system
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This book is your complete guide to seamless ML operations on OpenShift. You’ll master MLOps concepts, explore OpenShift Data Science, Pachyderm, and Intel OpenVino, along with the provision, configuration, and operationalization of the MLOps platform.
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MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
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Unlock the power of MATLAB for machine learning with this comprehensive guide. From data handling to advanced techniques like deep learning, NLP, and anomaly detection, gain practical skills applicable across a range of AI applications.
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MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition
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Promocja
Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorit- ePub + Mobi pkt
(203,15 zł najniższa cena z 30 dni)
211.65 zł
249.00 zł(-15%) -
This book explores MXNet/Gluon libraries, delves into toy dataset analysis, and assists in creating deep neural network architectures. With practical examples, it enables you to perform tasks such as transfer learning and transformers in with ease.
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Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
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Machine Learning Security with Azure will help you assess the vulnerabilities in your data, models, and environments, and implement the latest industry security best practices. You’ll get to grips with managing, securing, and monitoring your Azure machine learning workloads throughout the ML lifecycle while developing responsible AI applicat
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Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
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With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun Re
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TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition
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Machine Learning with Qlik Sense enables you to master machine learning skills and techniques and expand the use of analytics to predictive use cases. The chapters are designed to help you learn the key concepts of machine learning using practical examples, enabling you to create better analytics applications and get the most out of your data.
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Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense
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The book is a foundational guide for developers keen on mastering machine learning and statistical modeling in R. It offers a hands-on approach along with real-world applications. Whether you're a beginner or looking to upgrade your skills, the book equips you with practical knowledge to tackle a wide array of tasks in ML and statistics.
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The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide
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Machine Learning with LightGBM and Python is a practical guide that takes you from the essentials of machine learning and the data science processes to building production-ready, high-performance machine learning solutions using LightGBM on -of-the-art platforms.
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Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems
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Debugging Machine Learning Models with Python equips you with the skills needed to transition from a machine learning beginner to a specialist. It guides you through the tools, theoretical concepts, Python modules, and libraries for bringing a high-quality model into production and identifying opportunities to improve your models.
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Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
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Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This fully updated second edition will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.
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Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition
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The book helps you grasp images, text, audio, and tabular augmentation methods using real-world datasets from the Kaggle website. Throughout the chapters, you’ll discover augmentation concepts and techniques, a review of available open source augmentation libraries, and a reinforcement learning section through Python Notebook coding exercise
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Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data
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Computer Vision Using AWS AI Services enables machine learning engineers and data scientists to build and scale CV applications on AWS quickly. This comprehensive guide covers best practices to consider and shows you how to integrate AWS AI/ML services into production environments with little code.
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Computer Vision on AWS. Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker Computer Vision on AWS. Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
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This is a book for anyone who wants to quickly learn to apply spatial thinking and leverage Geospatial Data Science in Python to better comprehend problem statements and come up with the best possible results.
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Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
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This is a practical workbook that analyzes past Kaggle competitions in hopes of helping readers understand the best practices on how to approach future challenges. With the help of this workbook, readers will experience the case studies as if they themselves were part of the competitions and gain hands-on experience on how to approach their first K
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The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
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Betty Blocks is a no-code platform that allows users to build their own applications. Developers can add functionality to the platform to help citizen developers do more. This book will help you understand the implementation and associated methodologies of Betty Blocks and get you up and running in no time.
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Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development
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This book helps you understand the need and complexity of the transformation of healthcare using a comprehensive model (TiSH) that consists of 7 treads. You’ll learn about organizing healthcare in stepped, networked, and integrated care, in a fully patient-centric way and by using modern technologies and agile development methodologies.
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- Audiobook MP3 pkt
Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation
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Quantum Machine Learning and Optimisation in Finance shows you how to create hybrid quantum-classical machine learning and optimisation models that can harness the power of NISQ hardware.
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos López de Prado
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Deep Learning with TensorFlow and Keras, Third Edition teaches deep learning techniques alongside TensorFlow (TF) and Keras. The book introduces neural networks with TensorFlow, runs through the main applications, covers two working example apps, and then dives into TF and cloud in production, TF mobile, and using TensorFlow with AutoML.
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Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
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Machine Learning at Scale with H2O helps you to succeed in building and deploying state-of-the-art predictive models with large data volumes in an enterprise setting. The book enables you to understand the perspectives of varied stakeholders while navigating the journey from model development to business value.
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Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems
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Learning to solve common NLP problems effectively is an important skill to master due to its popularity. TensorFlow is one of the leading frameworks for implementing production-grade machine learning solutions. By the end of this book, you’ll be ready to confidently develop end-to-end machine learning solutions efficiently with TensorFlow.
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Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
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This book is a comprehensive guide that teaches Android developers asynchronous programming using Kotlin flows and coroutines. You’ll begin with the basics of asynchronous programming, including an overview of coroutines and flows, while also integrating them into your Android projects. You’ll also learn how to create high-performant
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Simplifying Android Development with Coroutines and Flows. Learn how to use Kotlin coroutines and the flow API to handle data streams asynchronously in your Android app Simplifying Android Development with Coroutines and Flows. Learn how to use Kotlin coroutines and the flow API to handle data streams asynchronously in your Android app
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Machine Learning on Kubernetes guides you on how to implement the entire machine learning life cycle on the Kubernetes platform. The topics covered in this book help you to acquire the fundamental knowledge needed to set up and use a set of open source tools to deliver intelligent applications to production.
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Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
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This book helps you get to grips with the rapidly growing data science domain and takes you on a journey from understanding which algorithm family to use to how to prevent bias. Through hands-on examples and clear analogies, you’ll develop expertise in data science and open source tools no matter what your level of experience is.
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Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
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This updated second edition of Mastering Azure Machine Learning is a critically timed book. It builds upon simple and advanced NLP techniques, ML models such as boosted trees, deep neural network architectures, and more to help you leverage the power of Azure Machine Learning Services.
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Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
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Distributed Machine Learning with Python takes you through state-of-the-art techniques built on top of traditional data and model parallelism approaches. It explains the concept of hybrid data-model parallelism, federated learning, and edge device learning with elastic and in-parallel model training in multi-tenant clusters.
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Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems
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Democratizing Artificial Intelligence with UiPath will help you understand the power of UiPath’s AI features and tools. This practical guide will help lower the barrier to using AI by teaching you how to integrate UiPath AI Center, UiPath Document Understanding, and Druid with automation. By taking a hands-on approach, you will quickly be ab
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Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance
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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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Natural Language Processing with Flair is a book for NLP developers, data scientists, and machine learning enthusiasts who want to get up to speed with Flair to be able to put their knowledge to work by solving real-life problems. The book features a number of hands-on exercises showing how to create and deploy Flair NLP solutions with ease.
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Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
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This book serves as a concise path toward cracking Kaggle competitions as well as an all-encompassing guide to upgrading your skills and career as a data scientist.
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The Kaggle Book. Data analysis and machine learning for competitive data science The Kaggle Book. Data analysis and machine learning for competitive data science
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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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Automated Machine Learning on AWS is a practical guide that provides hands-on experience to help you learn how to automate a machine learning pipeline using the various AWS services. With this book, you will be able to successfully overcome any machine learning automation challenges on AWS in no time.
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Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
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Running machine learning on microcontrollers enables everyday objects to make smarter decisions through minimum interactions with the end user. This book features useful and exciting recipes that help you combine the capabilities of embedded ultra-low-power systems and machine learning for AI-powered IoT devices.
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TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
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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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Unity AI Programming provides you with a variety of tools to implement artificial intelligence and leveraging these tools allows limitless possibilities for creating your own games. This book will break down AI into simple concepts to give you a fundamental understanding of the core topics, and practical guidance for implementing them.
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Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity - Fifth Edition Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity - Fifth Edition
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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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Time Series Analysis on AWS teaches you how to leverage AI/ML managed services to deliver desired business outcomes with time series data. This book will help you solve modern time series analysis problems such as forecasting and anomaly detection using industrial equipment sensors or business metrics.
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Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data
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Machine Learning in Biotechnology and Life Sciences is a critically timed book for scientists and developers working in the biotechnology sector. This book takes a hands-on approach to bridging the gap for scientists who have a strong desire to learn and apply AI methods within their roles to drive efficiency and agility in their company.
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Machine Learning in Biotechnology and Life Sciences. Build machine learning models using Python and deploy them on the cloud Machine Learning in Biotechnology and Life Sciences. Build machine learning models using Python and deploy them on the cloud
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Intelligent Workloads at the Edge is a practical guide to designing, deploying, and operating data-driven workloads on edge IoT devices for delivering cyber-physical outcomes. You'll work with hands-on projects to learn how to build intelligent applications that run on edge devices with AWS IoT Greengrass.
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Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
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This book can help you rapidly explore and build a broader range of machine learning models using DataRobot's capabilities. You'll learn how to deploy ML models and operationalize and monitor their performance using practical examples. Data science experts will learn how to scale model building by using the Python API, among other advanced topics.
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Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
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The Azure Data Scientist Associate Certification Guide offers complete coverage of the DP-100 exam content to help you to pass it with confidence. This book goes beyond the requirements for the exam and provides additional knowledge to ensure success in your real-life data science projects too.
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Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
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This updated second edition of Learn Amazon SageMaker will teach you how to move quickly from business questions to high performance models in production. Using machine learning and deep learning examples implemented with Python and Jupyter notebooks, you’ll learn how to make the most of the many features and APIs of Amazon SageMaker.
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Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists - Second Edition Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists - Second Edition
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IBM Cloud Pak for Data is a data and AI platform that helps businesses with their data modernization initiatives and to democratize data access to accelerate advanced analytics. This book will teach you how to develop a trusted data foundation to operationalize AI with trust, reliability, and transparency in your business processes.
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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This book will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.
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Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples
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Explore the capabilities of Amazon SageMaker to effectively train, deploy, and manage machine learning and deep learning models in AWS with complete and thoroughly explained hands-on examples. With 80 proven recipes, this step-by-step guide will help you build the skills necessary to contribute to real-life ML requirements and projects.
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Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
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The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.
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Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
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Rasa provides an open-source framework for developing AI chatbots that uses natural language processing (NLP) and machine learning technologies. With this book, you'll become well-versed with all that Rasa offers to help you build a next-level customer experience at scale.
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Conversational AI with Rasa. Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots Conversational AI with Rasa. Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots
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Gain a high-level introduction to GPT-3 and the OpenAI API with Exploring GPT-3. Get started without prior programming experience and learn how to work with GPT-3 for text generation, classification, semantic search, and more either without coding using the OpenAI Playground or by following simple code examples in both JavaScript and Python.
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Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI
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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.
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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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Data scientists working with network data will be able to put their knowledge to work with this practical guide to building machine learning algorithms using graph data. The book provides a hands-on approach to implementation and associated methodologies that will have you up and running and productive in no time.
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Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms
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This book helps you accelerate machine learning model development with BigQuery ML. Throughout the book, you'll use various ML models to learn about BigQuery ML features and discover how to apply them to different business scenarios. This book will help you to extend existing SQL capabilities to leverage the full potential of machine learning.
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Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
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Machine Learning with the Elastic Stack, Second Edition, provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for supervised learning and unsupervised learning that helps make machine learning truly operational for you.
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Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
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AutoKeras is a very simple and popular open source AutoML framework that provides easy access to deep learning models. This book will help you to explore the basics of automated machine learning using practical examples, enabling you to create and use your own models in your company or project.
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Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
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If you are a developer looking to build machine learning models without spending months and years learning machine learning prerequisites, look no further than AutoML. This practical and concise guide will show you how to build automated models for regression and classification, both with traditional algorithms and neural networks.
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming language
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Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML
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Get to grips with ML lifecycle management and MLOps implementation for your organization. This book will give you comprehensive insights into MLOps coupled with real-world examples in Azure that will teach you how to write programs, train robust and scalable ML models, and build ML pipelines to train, deploy, and monitor models securely in producti
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Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale
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This hands-on book will help you make your machine learning models fairer, safer, and more reliable and in turn improve business outcomes. Every chapter introduces a new mission where you learn how to apply interpretation methods to realistic use cases with methods that work for any model type as well as methods specific for deep neural networks.
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Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples
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The AWS Certified Machine Learning Specialty 2020 Certification Guide covers everything you need to pass the MLS-C01 certification exam and serves as a handy, on-the-job reference guide. You'll also find the book useful if you're looking to get up to speed with AWS services for machine learning.
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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
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This guide will help you to explore automated machine learning (AutoML), a rapidly growing subfield of machine learning. You’ll learn how you can use AutoML to fully automate the machine learning process even if you’re not an expert, and in turn increase your productivity drastically.
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Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Nabierz prędkości dzięki przełomowym zmianom w SQL Server 2019. Nie jest to już jedynie silnik bazodanowy, ale nowatorskie narzędzie wyposażone we wsparcie dla uczenia maszynowego, analiz Big Data, możliwość działania w systemie Linux, kontenery, Kubernetes, Javę czy wirtualizację danych w Azure. Ta książka nie zajmuje się tradycyjną administracjąOdsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe Odsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe
(88,83 zł najniższa cena z 30 dni)
88.83 zł
98.70 zł(-10%) -
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Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, a- ePub + Mobi pkt
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
Starting with an easy introduction to KNIME Analytics Platform, this book will take you through the key features of the platform and cover the advanced and latest deep learning concepts in neural networks. In each chapter, you’ll solve real-world case studies based on deep learning networks to spark your creativity for new projects.
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Equipped with the latest updates, this third edition of Python Machine Learning By Example provides a comprehensive course for ML enthusiasts to strengthen their command of ML concepts, techniques, and algorithms.
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Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition
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Microsoft Power BI Quick Start Guide, Second 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.
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Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky
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This book is for beginners who are looking for a strong foundation to build deep learning models from scratch. You will test your understanding of the concepts and measure your progress at the end of each chapter. You will have a firm understanding of deep learning and will be able to identify which algorithms are appropriate for different tasks.
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Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
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The Natural Language Processing Workshop takes you through fundamental NLP techniques, such as preparing datasets, collecting text, extracting text, and sentiment analysis. As you progress, you’ll get to grips with creating your own chatbots and dynamic models.
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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
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This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python environment.
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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This thoroughly revised and expanded second edition demonstrates on over 800 pages how machine learning can add value to algorithmic trading in a practical yet comprehensive way. It has four parts that cover how to work with a diverse set of market, fundamental, and alternative data sources, design ML solutions for real-world trading challenges, an
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Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition
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This book covers the theory and practice of building data-driven solutions. Includes the end-to-end process, using supervised and unsupervised algorithms. With each algorithm, you will learn the data acquisition and data engineering methods, the apt metrics, and the available hyper-parameters. You will learn how to deploy the models in production.
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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With this hands-on, self-paced guide, you'll explore crucial deep learning topics and discover the structure and syntax of PyTorch. Challenging activities and interactive exercises will keep you motivated and encourage you to build intelligent applications effectively.
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The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
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Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologies to improve or optimize systems.
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Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes
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The main aim of this book is to make the advanced mathematical background accessible to someone with a programming background. This book will equip the readers with not only deep learning architectures but the mathematics behind them. With this book, you will understand the relevant mathematics that goes behind building deep learning models.
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Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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This book will help you explore how to implement different well-known machine learning algorithms with various C++ frameworks and libraries. You will cover basic to advanced machine learning concepts with practical and easy to follow examples. By the end of the book, you will be able to build various machine learning models with ease.
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Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines
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Niniejsza książka jest przeznaczona dla osób, które chcą projektować inteligentne algorytmy, a przy tym mają podstawy z zakresu programowania, matematyki i statystyki. Przedstawiono tu schematy projektowe i praktyczne przykłady rozwiązań. Opisano algorytmy, które przetwarzają strumienie danych pochodzące z internetu, a także systemy rekomendacji i
- Druk
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Inteligentna sieć. Algorytmy przyszłości. Wydanie II Inteligentna sieć. Algorytmy przyszłości. Wydanie II
Czasowo niedostępna
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Promocja
Dzięki tej książce łatwo przyswoisz teoretyczne podstawy i zaczniesz je płynnie wdrażać w rzeczywistych scenariuszach. Dowiesz się, w jaki sposób myślenie przyczynowe ułatwia rozwiązywanie problemów, i poznasz pojęcia Pearla, takie jak strukturalny model przyczynowy, interwencje, kontrfakty itp. Każde zagadnienie zostało dokładnie wyjaśnione i opat- Druk
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Wnioskowanie i związki przyczynowe w Pythonie. Nowoczesne uczenie maszynowe z wykorzystaniem bibliotek DoWhy, EconML, PyTorch i nie tylko Wnioskowanie i związki przyczynowe w Pythonie. Nowoczesne uczenie maszynowe z wykorzystaniem bibliotek DoWhy, EconML, PyTorch i nie tylko
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This book helps software engineers, data scientists, ML and AI engineers, and research and development teams to learn and implement privacy-preserving machine learning as well as protect companies against privacy breaches.- PDF + ePub pkt
Privacy-Preserving Machine Learning. A use-case-driven approach to building and protecting ML pipelines from privacy and security threats Privacy-Preserving Machine Learning. A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
(92,88 zł najniższa cena z 30 dni)
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Explore the Databricks Data Intelligence Platform for developing and deploying ML data products. This book will help you build your expertise with projects, involving streaming, forecasting, image classification, and retrieval of augmented generation.- PDF + ePub pkt
Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley Horn
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Jakie książki pozwolą na praktyczną naukę uczenia maszynowego?
Zastanawiasz się czym jest Uczenie Maszynowe (Machine Learning)? To technika programowania komputerów, które uczą się wykonywać określone zadania na podstawie ogromnych ilości zebranych danych. W wielu przypadkach to rozwiązanie sprawdza się znacznie lepiej niż tradycyjne metody programowania, szczególnie w obszarach, gdzie trudno jest sformułować jasne reguły decyzyjne. Jeśli szukasz praktycznych przykładów uczenia maszynowego, to książki z tej kategorii oferują wiele case studies i analiz. Nasza oferta obejmuje różnorodne książki, które skupiają się na wszystkich najważniejszych aspektach uczenia maszynowego.
Uczenie maszynowe jak zacząć? – książki dla początkujących
Jeśli dopiero zaczynasz swoją przygodę z tą dziedziną, polecamy książkę "Jak projektować systemy uczenia maszynowego”, która omawia temat uczenia maszynowego od podstaw. Znajdziesz tu także praktyczne poradniki, takie jak "Uczenie maszynowe dla programistów" czy „Uczenie głębokie od zera”, które krok po kroku pokażą Ci, jak zacząć przygodę z uczeniem maszynowym czy uczeniem głębokim. Książki te sprawnie wprowadzą Cię także w zagadnienia związane z metodami uczenia nadzorowanego i nienadzorowanego, omówią kluczowe algorytmy i dostarczą liczne przykłady uczenia maszynowego.
Uczenie maszynowe i Python: książki dla programistów
Jeśli Twoim językiem programowania jest Python, to mamy dla Ciebie wiele propozycji książek. Język ten idealnie nadaje się do programowania mechanizmów uczenia maszynowego. Znajdziesz tu takie książki jak „Uczenie maszynowe w Pythonie. Receptury” oraz „Machine learning, Python i data science. Wprowadzenie” czy „Uczenie maszynowe z użyciem Scikit-Learn, Keras i TensorFlow”, dzięki którym dowiesz się jak korzystać z bibliotek takich jak scikit-learn czy TensorFlow, by efektywnie budować i trenować inteligentne modele.
Uczenie maszynowe a sztuczna inteligencja: książki dla zaawansowanych
Różnica między uczeniem maszynowym a sztuczną inteligencją jest często niejasna. W skrócie, sztuczna inteligencja to szeroki obszar informatyki skupiający się na tworzeniu inteligentnych systemów i maszyn, podczas gdy uczenie maszynowe to jedna z technik stosowanych w AI. Wiele osób interesuje się również sieciami neuronowymi, które stanowią podstawę dla głębokiego uczenia maszynowego - jednego z najgorętszych tematów w dziedzinie AI.
W naszej ofercie znajdziesz również książki opisujące różne algorytmy uczenia maszynowego, w tym drzewa decyzyjne, oraz metody uczenia maszynowego, takie jak uczenie nienadzorowane,
Nie ważne, czy jesteś początkującym entuzjastą czy doświadczonym programistą, nasza oferta obejmuje książki dla każdego. A jeśli preferujesz materiały w formie elektronicznej, nie zapomnij sprawdzić naszych książek w formacie PDF, EPUB czy MOBI.
Zachęcamy do odkrywania świata uczenia maszynowego poprzez nasze książki, które rozwijają umiejętności i otwierają drzwi do nowoczesnej analizy danych i sztucznej inteligencji.