There are so many free courses and resources to learn machine learning for free, but to perform very well in your machine learning interview, you need to read a book very thoroughly. So in this article, I’m going to introduce you to the 5 best machine learning books that will help you learn machine learning and also help you perform well in your interview.
Studying for an interview with a good book is very important because an interviewer will call you reviewing your practical skills, but they will hire you with an understanding of your knowledge both theoretical and practical.
So your hands-on skills improve while working on projects, but for theoretical knowledge, you need to sit down and study each concept from a book. So which book to choose for machine learning? Below are some of the best machine learning books you can consider.
Best Machine Learning Books
Here are some of the best machine learning books that you can use to learn machine learning:
- Hands-on Machine Learning with Scikit-Learn, Keras and Tensorflow
- Deep Learning (Adaptive Computation and Machine Learning Series)
- Introduction to Machine Learning with Python
- Python Machine Learning
- Mathematics for Machine Learning
In this book, you will start by creating an end to end machine learning project by understanding all the techniques deeply then you are using in the project, and the rest chapters are about exploring all the techniques used in machine learning and their implementation using Python. So this is one of the best machine learning books for machine learning for someone who is at an advance level in machine learning.
Deep Learning is used by machine learning graduates that are planning a career in machine learning or research in Artificial Intelligence. The foundation of this book is on deep learning only so you will understand very well about how neural networks work and how to answer questions related to machine learning and neural networks in your interview.
These two books for those who are expert in Python and want to make a career in machine learning. Both books are designed with the same approach. The “Introduction to machine learning with Python” gives you a very good understanding of all the topics of machine learning with some practical implementation, and “Python Machine Learning” covers the same very deeply with some more practical implementations.
Machine Learning algorithms are nothing but mathematical equations. So to understand the fundamental concept of machine learning algorithms can be only done by understanding how algorithms are built. This book will teach you how machine learning algorithms are created and this will eventually help you to create your own algorithms.
I hope you liked this article on the best machine learning books for beginners that you can use to crack your interviews. Feel free to ask your valuable questions in the comments section below.