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An Introduction to Statistical Learning: with Applications in R
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4.59 avg rating — 2,362 ratings
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| 1 |
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Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
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4.39 avg rating — 23 ratings
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| 3 |
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Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
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4.32 avg rating — 34 ratings
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Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
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3.67 avg rating — 64 ratings
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Advanced Analytics with Spark: Patterns for Learning from Data at Scale
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3.99 avg rating — 133 ratings
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Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
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4.76 avg rating — 21 ratings
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| 5 |
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Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
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4.76 avg rating — 21 ratings
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| 8 |
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
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4.23 avg rating — 269 ratings
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| 8 |
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Python Machine Learning: Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
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4.50 avg rating — 8 ratings
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| 10 |
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Deep Learning with Python
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4.57 avg rating — 1,437 ratings
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| 10 |
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Machine Learning for Beginners: Learn and Understand the Basics of Artificial Intelligence. A Beginner's Guide to Properly Understand Machine Learning Essentials with Data Science Principles
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4.70 avg rating — 10 ratings
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| 12 |
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Deep Learning
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4.43 avg rating — 2,175 ratings
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| 12 |
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Python Programming: 2 Books in 1: Learning Python and Python Machine Learning. A Complete Overview for Beginners. How to Master Python Coding Basics and Effectively Learn Faster Computer Programming
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it was amazing 5.00 avg rating — 3 ratings
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| 14 |
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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4.55 avg rating — 2,874 ratings
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| 15 |
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Machine Learning with TensorFlow
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3.40 avg rating — 30 ratings
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A First Course in Bayesian Statistical Methods
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4.02 avg rating — 53 ratings
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The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
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3.77 avg rating — 2,856 ratings
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| 18 |
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Pattern Classification and Scene Analysis
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4.05 avg rating — 389 ratings
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Doing Data Science: Straight Talk from the Frontline
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3.73 avg rating — 568 ratings
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| 20 |
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Introduction to Data Mining
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3.97 avg rating — 372 ratings
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| 21 |
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Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
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3.73 avg rating — 373 ratings
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| 22 |
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Data Smart: Using Data Science to Transform Information into Insight
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4.12 avg rating — 1,021 ratings
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| 23 |
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
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3.87 avg rating — 31,065 ratings
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| 24 |
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Exploratory Data Analysis
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4.23 avg rating — 71 ratings
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| 25 |
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Causal Inference in Python: Applying Causal Inference in the Tech Industry
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4.59 avg rating — 46 ratings
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| 26 |
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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
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4.46 avg rating — 63 ratings
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| 27 |
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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
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4.28 avg rating — 271 ratings
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