Unlock the potential of NLP and machine learning with this comprehensive guide. Learn advanced techniques, implement practical applications, and master tools like NumPy, Pandas, and transformer models.

Key Features

Comprehensive guide to NLP and machine learning

Practical examples and code samples

Covers from basic to advanced techniques and applications

Book Description

This book introduces developers to basic concepts in NLP and machine learning, providing numerous code samples to support the topics covered. The journey begins with introductory material on NumPy and Pandas, essential for data manipulation. Following this, chapters delve into NLP concepts, algorithms, and toolkits, providing a solid foundation in natural language processing. As you progress, the book covers machine learning fundamentals and classifiers, demonstrating how these techniques are applied in NLP. Practical examples using TF2 and Keras illustrate how to implement various NLP tasks. Advanced topics include the Transformer architecture, BERT-based models, and the GPT family of models, showcasing the latest advancements in the field. The final chapters and appendices offer a comprehensive overview of related topics, including data and statistics, Python3, regular expressions, and data visualization with Matplotlib and Seaborn. Companion files with source code and figures ensure a hands-on learning experience. This book equips you with the knowledge and tools needed to excel in NLP and machine learning.

What you will learn

Master NumPy and Pandas for data manipulation

Understand NLP concepts and techniques

Implement various NLP algorithms

Apply machine learning techniques

Use transformer models like BERT and GPT

Develop practical NLP applications

Who this book is for

This book is ideal for developers and data scientists who want to enhance their skills in NLP and machine learning. Basic knowledge of Python is recommended. Prior experience with data manipulation and machine learning concepts is beneficial.