Artificial Intelligence, Machine Learning, and Deep Learning

English | January 23rd, 2020 | ISBN: 1683924673 | 339 Pages | True PDF | 4.81 MB

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learningclassifiers 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 supplementthe theoretical discussion. In addition, this book contains appendices forKeras, TensorFlow 2, and Pandas.

Features:
Covers an introduction toprogramming concepts related to AI, machine learning, and deep learning
Includes material on Keras, TensorFlow2 and Pandas

Download:

http://longfiles.com/saqvru6yfaqv/Artificial_Intelligence_Machine_Learning_and_Deep_Learning_-_Oswald_Campesato.pdf.html