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."
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
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).