Artificial Intelligence, Machine Learning, and Deep Learning
2020
Online
E-Book
Zugriff:
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
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Artificial Intelligence, Machine Learning, and Deep Learning
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Autor/in / Beteiligte Person: | Campesato, Oswald |
Veröffentlichung: | 2020 |
Medientyp: | E-Book |
ISBN: | 978-1-68392-467-8 (print) ; 978-1-68392-465-4 (electronic) ; 978-1-68392-466-1 (electronic) |
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