10 Best Data Science and Machine Learning Books to Read in 2020

Best Data Science and Machine learning books to read in 2020
Best Data Science and Machine learning books to read in 2020.

In this competitive market, one has to refresh their skill set to keep in touch with the fiercely growing technology. Since the arrival of Data Science, the field has been in talks. The boom this sector has achieved is no less than a feat and considered one of the sexiest job profiles in the world in this century. At times we are confused about which book to refer to and which course to take, Today BookMark Me brings to you the best ten books to start and master your journey towards a successful data scientist.

1. Rules for Machine Learning 

This book is written by Martin Zinkevich. Rules of Machine learning deals with the best practices to be used in machine learning. This book talks about 10 main rules a total of 43 rules of machine learning. It is available for free download and can be used as a stepping stone to start a career in Machine Learning or Artificial Intelligence. You can download this book from the below link.

Download Rules of Machine Learning for free here.

2. Python Data Science Handbook 

Goodreads: 4.7/5

Python data science handbook is published by O'Reilly Publication. It is written by author Jake VanderPlas. The data science handbook deals with the concepts of machine learning and data science with the use of Python programming. This book is really helpful for beginners and intermediate level programmers who are new to this field.  This book can be a boost for someone who wants to get into the field of machine learning, Artificial Intelligence, and become a data scientist.  You can buy the textbook from the below link.

3. Introduction to Statistical Learning

Goodreads: 4.6/5

Introduction to statistical learning is a book from Springer Publications and deals with the vast subject of statistical learning. It covers topics from statistical concepts to multiple linear regression. It is one best bit to start the journey of data science since statistics cover the base of it. It is written by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. You can directly buy the book from the below-mentioned link.

4. Data Science at Command Line

Goodreads: 4.6/5

Data Science first edition was out in year 2014 published by O'Reilly. It is written by Jeroen Janssens. This book was last updated in the month of July 2020 and the second edition is under construction. Data Science at command lines deals with the various topics ranging from exploring and modeling data to Parallel pipelines. 

5. Think Stats

Goodreads: 3.6/5

Think stats is a book published by O'Reilly. This book is written by Allen B. Downey.  Think stats deals with the concepts of probabilistic theory and Statistics using Python programming. This book is very useful to turn the vast data into useful data.  This textbook uses very simple and real-life examples to demonstrate the theories.

6. R for Data Science

Goodreads: 4.7/5

R for data science is a book published by O'Reilly Publication.  The authors of this book are Hadley Wickham and Garret Grolemund. To main programming language to be used in data science are Python and R programming languages.  This book deals with the concepts of R programming which can be used in data science.  From exploring data to building predicting modeling this book has it all.  You can buy the book from the below link.

7. Machine Learning Yearning 

Machine learning yearning is a free book from the author Andrew NG.  It deals with the concept of deep learning and artificial intelligence.  This book is widely used from beginner to advanced level.  It uses various simple methods to explain the concepts and can be one of the best books to start with.  You can download the free book from the below link.

Download Machine Learning Yearning Free

8. Ethics and Data Science

Goodreads: 4.2/5

Ethics and data science is a book published by O'Reilly Publication.  The book is written by the authors Dj Patil, Hilary Mason, and Mike Loukides. This book deals with the concepts of data science in a very different way.  It helps in building ethics and procedural understanding of how to solve a problem.  This book can be the best bet when it comes to problem-solving.  You can buy ethics and data science book from the below link.

9. Deep Learning with Python by Manning

Goodreads: 5/5

Deep Learning with Python book is published by the manning Publication.  It is one of the few books which has been rated five stars by the Goodreads.  This book is written by author Fran├žois Chollet.  It is the concept of deep learning using Python programming and the powerful library of Keras. You can buy this deep learning with Python book from the below link.

10. Probabilistic Programming and Bayesian Methods

Goodreads: 4.2/5

Probabilistic programming and Bayesian methods a book from the series of Addison Wesley Data and Analytics. This book is popularly known as Bayesian methods for hackers.  This book is written by author Cameron Davidson Pilon. It deals with Bayesian interference using probabilistic programming methods. This book is a great help for people who are having a good knowledge of  Python programming.  Bayesian methods for hackers book can be bought from the below link


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