Author(s) Name:  Oswald Campesato
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.
Table of Conetnts
1: Introduction to AI
2: Introduction to Machine Learning.
3: Classifiers in Machine Learning.
4: Deep Learning Introduction
5: Deep Learning: RNNs and LSTMs
6: NLP and Reinforcement Learning.
ISBN:  9781683924678
Publisher:  Stylus Publishing
Year of Publication:  2020
Book Link:  Home Page Url