Artificial Intelligence, Machine Learning, and Deep Learning
Summary
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Artificial Intelligence, Machine Learning, and Deep Learning by Oswald Campesato
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.
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).
| SKU | Unavailable |
| ISBN 13 | 9781683924678 |
| ISBN 10 | 1683924673 |
| Title | Artificial Intelligence, Machine Learning, and Deep Learning |
| Author | Oswald Campesato |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Mercury Learning & Information |
| Year published | 2020-02-27 |
| Number of pages | 300 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |