Big data

The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition

Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar

The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques

Ee Kin Chin

The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code

Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat

The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch

Hyatt Saleh

The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Mirza Rahim Baig, Thomas V. Joseph, Nipun...

The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data

Pierre-Yves BONNEFOY, Emeric CHAIZE, Raphaël MANSUY, Mehdi...

The Definitive Guide to Microsoft Fabric. From discovery to building a unified, secure, and scalable data platform

Christopher Maneu, Emilie Beau, Jean-Pierre Riehl, Romain...

The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query

Greg Deckler, Rick de Groot, Melissa de...

The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation

Bill Schmarzo, Dr. Kirk Borne

The Kaggle Book. Data analysis and machine learning for competitive data science

Konrad Banachewicz, Luca Massaron, Anthony Goldbloom

The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition

Luca Massaron, Bojan Tunguz, Konrad Banachewicz, Anthony...

The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions

Konrad Banachewicz, Luca Massaron

The Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition

David Ping

The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition

Hyatt Saleh

The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide

Rohan Chopra, Aniruddha M. Godbole, Nipun Sadvilkar,...

The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies

Blaine Bateman, Saikat Basak, Thomas V. Joseph,...

The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide

Liu Peng

The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition

Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston,...

The Tableau Workshop. A practical guide to the art of data visualization with Tableau

Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC...

The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets

Matthew Moocarme, Anthony So, Anthony Maddalone

The Ultimate Guide to Snowpark. Design and deploy Snowflake Snowpark with Python for efficient data workloads

Shankar Narayanan SGS, Vivekanandan SS, Jeff Hollan

The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Aaron Jones, Christopher Kruger, Benjamin Johnston

Three.js Cookbook. Over 80 shortcuts, solutions, and recipes that allow you to create the most stunning visualizations and 3D scenes using the Three.js library

Jos Dirksen

Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data

Michaël Hoarau