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No detailed description available for "Python 3 for Machine Learning".
List 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
About the author
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including
Google Gemini for Python, Large Language Models, and
GPT-4 for Developers (all Mercury Learning).
Report
Programmers who want to get up to speed in Python 3 will appreciate O. Campesato's Python 3 for Machine Learning, a survey of basic Python 3 programming concepts, applications, expressions, and machine learning relationships. This introduction is packed with supporting mathematical, programming, and statistical information and summarizes each chapter's machine learning components, making it an excellent self study guide."
