Pattern Recognition and Machine Learning
A rigorous probabilistic treatment of machine learning and statistical pattern recognition
Hand-picked guides on Python, Django, data analytics, Power BI and DAX — with reviews, sample chapters, and downloadable companion files.
153 books
A rigorous probabilistic treatment of machine learning and statistical pattern recognition
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A beginner's guide to learning SQL from scratch and querying real databases with confidence
by Steve Tale
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A step-by-step guide to building neural networks from scratch in Python
by Tariq Rashid
A practical framework for testing your next business idea before you invest time and money
by Pat Flynn
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A practical guide to building machine learning systems with Python, scikit-learn, and the fundamentals of deep learning
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The Time-Tested, Battle-Hardened Guide for Anyone Starting Anything
by Guy Kawasaki
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189 Programming Questions and Solutions for Software Engineering Interviews
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A practical introduction to data analytics concepts, methods, and tools for business professionals
A step-by-step guide to hiring, managing, and delegating to virtual assistants and remote workers
Stripping the Dread from the Data — A Plain-English Introduction to Statistics