Deep Learning Books you should read in 2020

With the rise of machine learning and data science, applied everywhere and changing every industry, it's no wonder that experts in machine learning are handsomely paid and much looked after. If you've already read a couple of data science and machine learning books, it's time to focus on deep learning: Neural Networks, Keras, Tensorflow, Scikit-learn, etc. Introduction to Machine Learning with Python is a smooth introduction into machine learning and deep learning. It doesn't assume any knowledge about coding and Python in particular and it introduces fundamental concepts and applications of machine learning, discussing various methods through examples. That's the best book I've ever seen for an entry level Deep Learning Engineer. If you've already completed a couple of machine learning projects, you know something about Keras or Tensorflow, you've used scikit-learn then I have two recommendations for you.