This book is a comprehensive introduction to using Python for data science. It covers everything from the basics of Python programming to more advanced topics like machine learning and deep learning

This book is a practical guide to machine learning using Python. It teaches you how to use popular machine learning libraries like Scikit-Learn, Keras, and TensorFlow to build real-world application

This book is a classic text on deep learning. It covers the theoretical foundations of deep learning as well as practical techniques for building deep learning model

This book is an introduction to using R for data science. It covers the basics of R programming as well as how to use R for data manipulation, visualization, and statistical analysi

This book teaches you how to build data science algorithms from scratch. It's a great way to learn the underlying concepts of data science without relying on librarie

This book is a series of lectures on machine learning by Andrew Ng, a leading expert in the field. The lectures cover a wide range of topics, from the basics of machine learning to more advanced topics like deep learning

This book introduces Bayesian statistics in a fun and accessible way. It's a great resource for learning about a powerful statistical approach that is becoming increasingly popular in data science