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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
A practical, project-driven introduction to machine learning and deep learning with Python
Hand-picked guides on Python, Django, data analytics, Power BI and DAX — with reviews, sample chapters, and downloadable companion files.
165 books
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A practical, project-driven introduction to machine learning and deep learning with Python
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Rules for Focused Success in a Distracted World
by Cal Newport
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A practical guide to Power BI data modeling, DAX, and enterprise-grade report design
by Brett Powell, Greg Deckler, Leon Gordon
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A practical guide to the complete data engineering lifecycle, from ingestion to serving
by Joe Reis, Matt Housley
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An Iterative Process for Production-Ready Machine Learning Applications
by Chip Huyen
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A hands-on guide to scalable data analytics using Python and PySpark
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The definitive reference on algorithms and data structures for students and practicing engineers
by Charles E. Leiserson, Clifford Stein, Ronald L. Rivest, Thomas H. Cormen
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Clear, Concise, and Effective Programming with Python's Most Powerful Features
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A practical handbook for building and sustaining a freelance career from scratch
by Robert Vlach
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A rigorous foundation in Bayesian reasoning, probabilistic models, and modern machine learning methods
A Beginner's Guide to Storytelling with Data Using PostgreSQL