Artificial Intelligence, Machine Learning, and Deep Learning

By: Oswald Campesato

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Paperback | 13 February 2020

At a Glance

Paperback
340 Pages

Dimensions(cm)
22.8 x 17.7 x 2.0

Paperback

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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 learning
Includes material on Keras, TensorFlow2 and Pandas

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