Python 3 for Machine Learning
Seiten
2020
Mercury Learning & Information (Verlag)
978-1-68392-495-1 (ISBN)
Mercury Learning & Information (Verlag)
978-1-68392-495-1 (ISBN)
Provides the reader with basic Python3 programming concepts related to machine learning. Chapters provide an introduction to Python 3, NumPy, and Pandas; introduce the fundamental concepts of machine learning; cover machine learning classifiers, such as logistic regression and k-NN; and explore NLP and RL.
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 Python 3
2: Conditional Logic, Loops, and Functions
3: Python Collections
4: Introduction to NumPy and Pandas
5: Introduction to Machine Learning
6: Classifiers in Machine Learning
7: Natural Language Processing and Reinforcement Learning
Appendices
A: Introduction to Regular Expressions
B: Introduction to Keras
C: Introduction to TensorFlow 2
Index
Erscheinungsdatum | 03.03.2020 |
---|---|
Sprache | englisch |
Gewicht | 563 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Informatik ► Web / Internet | |
ISBN-10 | 1-68392-495-9 / 1683924959 |
ISBN-13 | 978-1-68392-495-1 / 9781683924951 |
Zustand | Neuware |
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