Table of Contents

1: Introduction to NumPy
2: Introduction to Pandas
3: NLP Concepts (I)
4: NLP Concepts (II)
5. Algorithms and Toolkits (I)
6. Algorithms and Toolkits (II)
7: Introduction to Machine Learning
8: Classifiers in Machine Learning
9: NLP Applications
10: NLP and TF2 / Keras
11: Transformer, BERT, and GPT
Appendices
A: Data and Statistics
B: Introduction to Python
C: Introduction to Regular Expressions
D: Introduction to Keras
E: Introduction to TF2
F: Data Visualization
Index

About the Author

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).