Artificial Intelligence, Machine Learning, and Deep Learning

No detailed description available for "Artificial Intelligence, Machine Learning, and Deep Learning".

List of contents

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
Appendices
A: Introduction to Keras
B: Introduction to TF2
C: Introduction to Pandas
Index

About the author

Oswald Campesato is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, Python, Data Science, and GPT-4. He is the author/co-author of over forty books including Python and Machine Learning, Data Cleaning, and NLP for Developers (all Mercury Learning and Information).

Summary

Provides 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. The book then covers deep learning architectures such as CNNs, RNNs,LSTMs, and auto encoders.

Product details

• Authors: Oswald Campesato
• Publisher: De Gruyter
• Languages: English
• Product format: Paperback / Softback
• Released: 31.03.2020
• EAN: 9781683924678
• ISBN: 978-1-68392-467-8
• No. of pages: 300
• Dimensions: 178 mm x 18 mm x 229 mm
• Weight: 535 g
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing; Mensch-Computer-Interaktion, COMPUTERS / Intelligence (AI) & Semantics, Computers - General Information, COMPUTERS / Social Aspects / Human-Computer Interaction, COMPUTERS / Machine Theory