Artificial Intelligence, Machine Learning, and Deep Learning
Seiten
2020
Mercury Learning & Information (Verlag)
978-1-68392-467-8 (ISBN)
Mercury Learning & Information (Verlag)
978-1-68392-467-8 (ISBN)
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.
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).
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
Erscheinungsdatum | 02.01.2020 |
---|---|
Sprache | englisch |
Gewicht | 535 g |
Themenwelt | Informatik ► Software Entwicklung ► User Interfaces (HCI) |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
ISBN-10 | 1-68392-467-3 / 1683924673 |
ISBN-13 | 978-1-68392-467-8 / 9781683924678 |
Zustand | Neuware |
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