Data Science from Scratch: First Principles with Python 2nd Edition – Digital Instant Dowload.

Product details:

• ISBN-10 ‏ : ‎ 1492041130
• ISBN-13 ‏ : ‎ 978-1492041139
• Author: Joel Grus

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with New material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.

Table contents:

1 Introduction 1

2 A Crash Course in Python 15

3 Visualizing Data 37

4 Linear Algebra 49

5 Statistics 57

6 Probability 69

7 Hypothesis and Inference 81

8 Gradient Descent 93

9 Getting Data 103

10 Working with Data 121

11 Machine Learning 141

12 k-Nearest Neighbors 151

13 Naive Bayes 165

14 Simple Linear Regression 173

15 Multiple Regression 179

16 Logistic Regression 189

17 Decision Trees 201

18 Neural Networks 213

19 Clustering 225

20 Natural Language Processing 239

21 Network Analysis 255

22 Recommender Systems 267

23 Databases and SQL 275

24 MapReduce 289

25 Go Forth and Do Data Science 299