Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark

Frank Kane

Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Josh Kalin

Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations

James Church

Google Analytics dla marketingowców. Wydanie II

Martyna Zastrożna

Google Analytics. Integracja i analiza danych

Daniel Waisberg

Hadoop. Komplety przewodnik. Analiza i przechowywanie danych

Tom White

Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation

Patrick D. Smith

Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems

Amita Kapoor

Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

James Cross, Rudy Lai, Bartłomiej Potaczek

Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals

James Lee, Tao Wei, Suresh Kumar Mukhiya

Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer

Nitin Gaur, Luc Desrosiers, Venkatraman Ramakrishna, Petr Novotny, ...

Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python

Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, ...

Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards

Abhishek Agarwal

Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards

Chris Beeley

Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing

Curtis Miller

Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics

Roy Jafari

Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark

Frank Kane

Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R

Yoon Hyup Hwang

Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications

Yuxing Yan, James Yan

Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R

Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias

Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight

Marek Chmel, Vladimir Muzny

Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools

Jason Morris, Chris McCubbin, Raymond Page

Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud

Christian Cote, Michelle Gutzait, Giuseppe Ciaburro

Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark

Guglielmo Iozzia