I recently got Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by Aurélien Géron as a recomendation from Keith.
This second version updates all code samples to work with TensorFlow 2, and the repository that accompanies the book—ageron/handson-ml2—is also updated frequently to catch up with the latest updates.
Just the Python notebooks on that GitHub repository are super helpful to get an overall on state-of-the-art machine learning and deep learning techniques, from the basics of machine learning and classic techniques like classification, support vector machines, or decision trees to the latest techniques to code neural networks, customizing and trained them, loading and pre-processing data, natural language processing, computer vision, autoencoders and gans, or reinforcement learning.