Free books on data science | Free data science books to get you started

Overview

Here there is 9 free data science books to get started and update on multiple fronts
By no means is this an exhaustive list. Feel free to add more free data science books in the comments below..

Introduction

“In fact, data is the new oil”

When I first heard this many years ago, I scoffed and ignored the statement. And I'm pretty sure a lot of people like me are now thinking how accurate this statement was.

Nowadays, data science has taken over every industry leaving no stone unturned. All companies try to take advantage of a wide variety of data in each and every step of their operations to obtain maximum efficiency. It only makes sense for people to become familiar with at least basic algorithms and tools for analyzing data in their respective domains to better understand trends and, at the same time, make better decisions.

And if you're already on your data science journey, you must have realized how important it is to update and implement complex algorithms in a practical way to get better results.

But as always, you always wonder where to start. That's where i come to rescue you. In this article, compartment 9 of the top free data science books that people should add to their list for research purposes 2020.

The book includes all the main branches of statistical learning. For each topic, the authors first give a concise introduction to the basic problem, evaluate conventional methods, point out its shortcomings and then introduce a scarcity-based approach.

Always discuss regularized models based on equations first, followed by sample apps, before ending with a bibliography section detailing the historical development of the given method.

You can download the book from here.

Este libro elaborado por varias manos por los empleados de Booz Allen Hamilton presenta el tema de la ciencia de datos, presenta las herramientas necesarias para trabajar con el área y amplía un poco el trasfondo. Básicamente funciona como una introducción al tema, pero está muy bien escrito, con infografías e ilustraciones especialmente creativas. Y hay una sección que deben imprimir todos los que trabajan en el campo, una guía sobre cómo elegir la técnica adecuada para cada parte del problema.

You can download the book from here.

a classic of all time. This book is recommended or referenced in most machine learning courses that I have come across, it's that well written. Covers basic statistics and machine learning techniques.

The amazing thing about this book is that each concept is explained with case studies in R. So once you get the hang of programming, you can always go back and try each concept again. What better way to ingrain a concept than by practicing it several times?

You can download the book from here.

This is a book not for beginners. The book introduces you to the concept of Convex Optimization which is used by almost all machine learning and deep learning algorithms to achieve optimal parameters..

This is an appropriate book for someone looking to enter the world of machine learning through optimization.. This is another approach besides the journey through statistics..

You can download the book from here.

The book provides a very good introduction to the mathematical background for data mining and fundamental statistical machine learning. This textbook provides a broad but in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, grouping and sorting.

The book lays the groundwork for these tasks and also covers cutting edge topics like kernel methods., high-dimensional data analysis and complex graphs and networks.

You can download the book from here

The book introduces the fundamental principles of data science and guides you through the “data analytical thinking” necessary to extract useful knowledge and business value from the data you collect.

This book is recommended for beginners and intermediate professionals who wish to learn data analysis without the use of mathematics..

You can download the book from here.

If a man like Elon Musk says this is the most comprehensive book on the subject, We do not think you need to consult more sources on the subject.

The topics of the book are complete, covers almost all aspects of deep learning, the authors gave a good justification for covering some of the intricate topics that need special attention and are not so readily available on the internet.

You can download the book from here.

Is there an alternative way to learn Deep Learning than learning through the book written by the creator of Keras and Google artificial intelligence researcher, Francois Chollet? The book delves into Deep learning and teaches concepts practically implementing python in Python.

I also recommend following Francois on Twitter, there is much we can learn from him.

You can download the book from here.

This is a book on the science of artificial intelligence (HE). Presents artificial intelligence as the study of the design of intelligent computational agents.