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Joel Grus "Data Science from Scratch"

Chapter 1 Introduction

Chapter 2 A Crash Course in Python

Chapter 3 Visualizing Data

Chapter 4 Linear Algebra

Chapter 5 Statistics

Chapter 6 Probability

Chapter 7 Hypothesis and Inference

Chapter 8 Gradient Descent

Chapter 9 Getting Data

Chapter 10 Working with Data

Chapter 11 Machine Learning

Chapter 12 k-Nearest Neighbors

Chapter 13 Naive Bayes

Chapter 14 Simple Linear Regression

Chapter 15 Multiple Regression

Chapter 16 Logistic Regression

Chapter 17 Decision Trees

Chapter 18 Neural Networks

Chapter 19 Clustering

Chapter 20 Natural Language Processing

Chapter 21 Network Analysis

Chapter 22 Recommender Systems

Chapter 23 Databases and SQL

Chapter 24 MapReduce

Chapter 25 Go Forth and Do Data Science