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Artificial Intelligence, Machine Learning, and Deep Learning

Autor Oswald Campesato
en Limba Engleză Paperback – 27 feb 2020
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.
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Specificații

ISBN-13: 9781683924678
ISBN-10: 1683924673
Pagini: 338
Dimensiuni: 178 x 229 x 19 mm
Greutate: 0.58 kg
Ediția:1. Auflage
Editura: Mercury Learning and Information

Notă biografică

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Cuprins

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