Grokking Machine Learning

Inside the Machine Learning Interview: 151 Real Questions from FAANG and How to Answer Them

Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Make Your Own Neural Network

Fundamentals of Probability and Statistics for Machine Learning

The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series)