Python 3 for Machine Learning

Python 3 for Machine Learning

By Oswald CAMPESATO
Paperback $57.99

$57.99

Publication Date: 16th March 2020

No detailed description available for "Python 3 for Machine Learning". Read More
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Description
No detailed description available for "Python 3 for Machine Learning".
Details
  • Price: $57.99
  • Pages: 364
  • Publisher: De Gruyter
  • Imprint: Mercury Learning and Information
  • Publication Date: 16th March 2020
  • ISBN: 9781683924951
  • Format: Paperback
  • BISACs:
    COMPUTERS / Programming Languages / Python
    COMPUTERS / Machine Theory
    COMPUTERS / Programming / General
    COMPUTERS / Reference
Author Bio
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).

Table of Contents
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
No detailed description available for "Python 3 for Machine Learning".
  • Price: $57.99
  • Pages: 364
  • Publisher: De Gruyter
  • Imprint: Mercury Learning and Information
  • Publication Date: 16th March 2020
  • ISBN: 9781683924951
  • Format: Paperback
  • BISACs:
    COMPUTERS / Programming Languages / Python
    COMPUTERS / Machine Theory
    COMPUTERS / Programming / General
    COMPUTERS / Reference
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