num_pages: 0
description: This book begins with an introduction to AI followed by machine learning deep learning NLP and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression k-NN decision trees random forests and SVMs. Next the book covers deep learning architectures such as CNNs RNNs LSTMs and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition this book contains appendices for Keras TensorFlow 2 and Pandas.
language: None
title: Artificial Intelligence, Machine Learning, and Deep Learning
publisher: None