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Synopsis
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About the Author
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).
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Artificial Intelligence, Machine Learning, and Deep Learning
Published by
Mercury Learning & Information, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
Used
Paperback
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: Very Good. Seller Inventory # mon0003177843
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Artificial Intelligence, Machine Learning, and Deep Learning
Published by
Mercury Learning and Information, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
Used
Paperback
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. 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-N, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNs, RNs, 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. Seller Inventory # 00110930542
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Artificial Intelligence, Machine Learning, and Deep Learning
Published by
Mercury Learning and Information, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
Used
Paperback
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: Good. 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-N, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNs, RNs, 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. Seller Inventory # CIN1683924673G
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Artificial Intelligence, Machine Learning, and Deep Learning
Published by
Mercury Learning and Information, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
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Softcover
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Condition: Good. Exact ISBN match. Immediate shipping. No funny business. Seller Inventory # 9781683924678
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Artificial Intelligence, Machine Learning, and Deep Learning
Published by
Mercury Learning and Information, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
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Artificial Intelligence, Machine Learning, and Deep Learning (Paperback or Softback)
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Mercury Learning & Information 3/12/2020, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
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Paperback or Softback. Condition: New. Artificial Intelligence, Machine Learning, and Deep Learning. Book. Seller Inventory # BBS-9781683924678
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Artificial Intelligence, Machine Learning, and Deep Learning
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Mercury Learning and Information, US, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
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Paperback. Condition: New. No detailed description available for "Artificial Intelligence, Machine Learning, and Deep Learning". Seller Inventory # LU-9781683924678
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Artificial Intelligence, Machine Learning, and Deep Learning
Published by
Mercury Learning and Information, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
Used
Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Condition: As New. Unread book in perfect condition. Seller Inventory # 40415738
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Artificial Intelligence, Machine Learning, and Deep Learning
Published by
Mercury Learning and Information, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
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Artificial Intelligence, Machine Learning, and Deep Learning
Published by
Mercury Learning and Information, US, 2020
ISBN 10: 1683924673
ISBN 13: 9781683924678
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