Artificial Intelligence, Machine Learning, and Deep Learning
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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. Features:
Covers an introduction to programming concepts related to AI, machine learning, and deep learningIncludes material on Keras, TensorFlow2 and Pandas
Covers an introduction to programming concepts related to AI, machine learning, and deep learningIncludes material on Keras, TensorFlow2 and Pandas
Format:Paperback
Language:English
ISBN:1683924673
ISBN13:9781683924678
Release Date:February 2020
Publisher:Mercury Learning and Information
Length:300 Pages
Weight:1.15 lbs.
Dimensions:0.8" x 6.9" x 8.9"
Grade Range:Postsecondary
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