July 2017
Beginner to intermediate
486 pages
13h 49m
English
Overview
Delve into the fundamentals and advanced techniques of Natural Language Processing (NLP) using Python with this comprehensive resource. Through this book, you will explore the tools, libraries, and methodologies to effectively process, analyze, and derive meaning from natural language data. You will be equipped to create smarter applications integrating NLP capabilities.
What this Book will help me do
- Gain proficiency in Python libraries such as NLTK, SpaCy, and Polyglot for NLP tasks.
- Learn to preprocess and analyze text data for better understanding and categorization.
- Develop the ability to create and fine-tune machine learning models for language processing.
- Understand and implement deep learning architectures for natural language tasks.
- Apply NLP techniques to build real-world interactive applications and utilities.
Author(s)
Jalaj Thanaki is an experienced software engineer and data scientist specializing in Python programming and natural language processing. With a passion for education, Jalaj brings a practical and clear approach to explaining technical subjects. Their work in the field of AI has been published and widely recognized for its practicality and effectiveness.
Who is it for?
This book is ideal for developers and programmers looking to delve into machine learning and NLP using Python. Whether you're a beginner or have prior programming experience and want to expand into natural language processing, this book provides a structured learning path to achieve your goals. Enthusiasts who aspire to integrate NLP functionalities into smart applications will find this book indispensable.
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