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.
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Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models
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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition
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Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
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Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
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Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras
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Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
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Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain
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Computer Vision Projects with OpenCV and Python 3. Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
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Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment
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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
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Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
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Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
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Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
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Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
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Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
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Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
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Apache Ignite Quick Start Guide. Distributed data caching and processing made easy
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Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
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Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
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Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
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Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer
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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow
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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
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Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
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Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
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Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation
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Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
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Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore
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R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
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Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
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Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python
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Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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Voicebot and Chatbot Design. Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
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Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
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R Programming Fundamentals. Deal with data using various modeling techniques
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Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
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Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
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Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
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Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps
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Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
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Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
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Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
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Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
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Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
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Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning
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Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
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Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
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Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
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Voice User Interface Projects. Build voice-enabled applications using Dialogflow for Google Home and Alexa Skills Kit for Amazon Echo
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Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
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Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
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fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
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Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps
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Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
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Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
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Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
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Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
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Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
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PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
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Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
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Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
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Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
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Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
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Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
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Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
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Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
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Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
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Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud
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Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
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Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning
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Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
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Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models
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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more