List of books

ID,Book Title
1,Probabilistic Graphical Models
2,Bayesian Data Analysis 
3,Doing data science 
4,Pattern Recognition and Machine Learning 
5,The Elements of Statistical Learning 
6,An introduction to Statistical Learning 
7,Python Machine Learning 
8,Natural Langauage Processing with Python
9,Statistical Distributions
10,Monte Carlo Statistical Methods
11,Machine Learning :A Probablisitic Perspective
12,Neural Network Design 
13,Matrix methods in Data Mining and Pattern recognition 
14,Statistical Power Analysis
15,Probability Theory The Logic of Science
16,Introduction to Probability 
17,Statistical methods for recommender systems
18,Entropy and Information theory
19,Clever Algorithms: Nature-Inspired Programming Recipes
20,"Precision: Principles, Practices and Solutions for the Internet of Things"
21,Applied Predictive Analytics
22,Data Structures and Algorithms in Java
23,Data Science For Dummies
24,Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
25,R cookbook
26,“Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville
27,SQL Cookbook
28,Learning SQL
29,Python Crash Course
30,Naked Statistics
31,Head First Statistics: A Brain-Friendly Guide
32,The Data Science Handbook by Field Cady
33,Storytelling With Data: A Data Visualization Guide for Business Professionals, by Cole Nussbaumer Knaflic
34,Streaming, Sharing, Stealing: Big Data and the Future of Entertainment
35,Show Me the Numbers: Designing Tables and Graphs to Enlighten
36,Cracking the Coding Interview: 189 Programming Questions and Solutions
37,Numsense! Data Science for the Layman: No Math Added
38,Making Money out of Data: The Art and Science of Analytics
39,Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners
40,The Art of Data Science
41,Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
42,The Data Science Handbook
43,Programming Python: Powerful Object-Oriented Programming
44,Fluent Python: Clear, Concise, and Effective Programming
45,Computer Vision:  Models, Learning, and Inference
46,Artificial Intelligence: A Modern Approach
47,Grokking Algorithms: An illustrated guide for programmers and other curious people
48,Data Smart: Using Data Science to Transform Information into Insight
49,Blockchain Technology And Data Analytics
50,Machine Learning Yearning