Natural Language Processing and Machine Learning for Developers

By: Oswald Campesato

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Paperback | 28 May 2021

At a Glance

Paperback
790 Pages

Dimensions(cm)
22.23 x 17.15 x 3.81

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This book is for developers who are looking for an introduction to basic concepts in NLP and machine learning. Numerous code samples and listings are included to support myriad topics.

The first two chapters contain introductory material for NumPy and Pandas, followed by chapters on NLP concepts, algorithms and toolkits, machine learning, and NLP applications. The final chapters include examples of NLP tasks using TF2 and Keras, the Transformer architecture, BERT-based models, and the GPT family of models. The appendices contain introductory material (including Python code samples) for various topics, including data and statistics, Python3, regular expressions, Keras, TF2, Matplotlib and Seaborn. Companion files with source code and figures are included.

FEATURES:

Covers extensive topics related to natural language processing and machine learning
Includes separate appendices on data and statistics, regular expressions, data visualization, Python, Keras, TF2, and more
Features companion files with source code and color figures from the book.

About the Author

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).

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