**An Introduction to Statistical Learning**

The most accessible book to pick up machine learning skills, this book gets you started in machine learning in Python in a detailed way using interesting examples like spam mail detection. The author draws on his experiences in ad optimization, fraud detection, and conversion rate prediction, among others. The book assumes no prior knowledge of Python, but you will do well if you have a short primer in Python before you dig deep into this book. The book will help you set up the software for machine learning models. This book works well for both beginners and advanced users alike.

**An Introduction to Statistical Learning**

Author: Yuxi (Hayden) Liu

Here is a list of the top 8 Data Science Books to **learn Data Science** in 2022

Author: Yuxi (Hayden) Liu

While covering all the topics relevant to data science, the book can still be considered a quick and easy reference. Since it leaves out the details, it cannot be used as a guide to mastering concepts or go in-depth into the subject of data science.

Author: Bruce

**An Introduction to Statistical Learning**

Author: Bruce

**An Introduction to Statistical Learning**

The most accessible book to pick up machine learning skills, this book gets you started in machine learning in Python in a detailed way using interesting examples like spam mail detection. The author draws on his experiences in ad optimization, fraud detection, and conversion rate prediction, among others. The book assumes no prior knowledge of Python, but you will do well if you have a short primer in Python before you dig deep into this book. The book will help you set up the software for machine learning models. This book works well for both beginners and advanced users alike.

Here is a list of the top 8 Data Science Books to **learn Data Science** in 2022

**An Introduction to Statistical Learning**

**Convex Optimization**

Author: Stephen Boy

**8. Python Machine Learning by example**

**8. Python Machine Learning by example**

One of the best books to learn about probability, this book hand holds a beginner and eases into the topic of Probability. The examples used are close to real-world problems, making them easy to understand and relatable. Although the book assumes no prior knowledge of mathematics and probability, it will be a great ready reckoner for those who have had a bit of a background in statistics in their foundational academic years. The book has been the choice of many for over five decades and should be a must-have on your bookshelf.

The most accessible book to pick up machine learning skills, this book gets you started in machine learning in Python in a detailed way using interesting examples like spam mail detection. The author draws on his experiences in ad optimization, fraud detection, and conversion rate prediction, among others. The book assumes no prior knowledge of Python, but you will do well if you have a short primer in Python before you dig deep into this book. The book will help you set up the software for machine learning models. This book works well for both beginners and advanced users alike.

While covering all the topics relevant to data science, the book can still be considered a quick and easy reference. Since it leaves out the details, it cannot be used as a guide to mastering concepts or go in-depth into the subject of data science.

The book introduces the theme of Data Science by exposing tools necessary to work within Data Science. The book introduces the subject of Data Science well enough with great infographics and creative illustrations. The book also offers a guide on choosing the correct technique for each problem faced in Data Science.

Author(s): Booz Allen Hamilton

**Introduction to Probability**

Author: William Feller

**The Field Guide to Data Science**

One of the best books to learn about probability, this book hand holds a beginner and eases into the topic of Probability. The examples used are close to real-world problems, making them easy to understand and relatable. Although the book assumes no prior knowledge of mathematics and probability, it will be a great ready reckoner for those who have had a bit of a background in statistics in their foundational academic years. The book has been the choice of many for over five decades and should be a must-have on your bookshelf.

**Conclusion**

A good proportion of books listed above are available for free in pdf format. These books are a great way to cement your foundational skills in data science and machine learning. Taking up an online course in data science from a reputed institute offers interactive training at your own pace with a lot of hand-holding and live assignments. Books are a great way to acquire knowledge. In case you are looking to scale up quickly into data science and machine learning check out some of the well-curated **data scientist courses **and detailed **courses on Data Science** at **Great Learning**.

**References**

https://hackr.io/blog/data-science-books

This book is most often referred to or referenced in many machine learning courses. It does the job of describing machine learning techniques well while also explaining the basic statistics.

This post is last updated on hrtanswers.com at Date : 1st of September – 2022