Artificial intelligence, machine learning, and deep learning / Oswald Campesato.

Format:

Book

Author/Creator:

Campesato, Oswald, author.

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Physical Description:

1 online resource (338 pages)

Edition:

1st ed.

Place of Publication:

Dulles, Virginia ; Boston, Massachusetts ; New Delhi : Mercury Learning and Information, [2020]

Summary:

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.

Contents:

AI Machine Learning Deep Learning_FM_crop

AI Machine Learning Deep Learning_Chapter 1

AI Machine Learning Deep Learning_Chapter 2

AI Machine Learning Deep Learning_Chapter 3

AI Machine Learning Deep Learning_Chapter 4

AI Machine Learning Deep Learning_Chapter 5

AI Machine Learning Deep Learning_Chapter 6

AI Machine Learning Deep Learning_Appendix

AI Machine Learning Deep Learning_Index.

Notes:

Description based on print version record.

ISBN:

9781683924654

1683924657