Artificial Intelligence, Machine Learning, and Deep Learning / / 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 architectu...

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Bibliographic Details
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Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2020]
©2020
Year of Publication:2020
Language:English
Online Access:
Physical Description:1 online resource (300 p.)
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Table of Contents:
  • Frontmatter
  • CONTENTS
  • Preface
  • Chapter 1: Introduction to AI
  • Chapter 2: Introduction to Machine Learning
  • Chapter 3: Classifiers in Machine Learning
  • Chapter 4: Deep Learning Introduction
  • Chapter 5: Deep Learning: RNNs and LSTMs
  • Chapter 6: NLP and Reinforcement Learning
  • Appendix A: Introduction to Keras
  • Appendix B: Introduction to TF 2
  • Appendix C: Introduction to Pandas
  • Index