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Mastering NLP from Foundations to LLMs
Mastering NLP from Foundations to LLMs

Mastering NLP from Foundations to LLMs: Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python

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Key benefits

  • Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT
  • Master embedding techniques and machine learning principles for real-world applications
  • Understand the mathematical foundations of NLP and deep learning designs
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Do you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.

Who is this book for?

This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.

What you will learn

  • Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python
  • Model and classify text using traditional machine learning and deep learning methods
  • Understand the theory and design of LLMs and their implementation for various applications in AI
  • Explore NLP insights, trends, and expert opinions on its future direction and potential

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 26, 2024
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781804616383
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What do you get with eBook?

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Product Details

Publication date : Apr 26, 2024
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781804616383
Category :
Concepts :

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Frequently bought together


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Total $ 157.97
Building LLM Powered  Applications
$49.99
Transformers for Natural Language Processing and Computer Vision
$54.99
Mastering NLP from Foundations to LLMs
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Total $ 157.97 Stars icon
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Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
(24 Ratings)
5 star 95.8%
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2 star 4.2%
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Petar Dimov Jun 21, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
🎉 This comprehensive guide has proved itself to be an invaluable resource!💡 The book captivated me from the first chapter itself. It brilliantly paves the way for everyone from budding learners to industry veterans in the space of NLP and LLMs, and its concise yet comprehensive coverage aligns perfectly with the needs of a wide array of readers.🧠 Gazit and Ghaffari have meticulously crafted this book as a powerful compendium of knowledge. They have intelligently structured the content to segue from fundamental understanding of topics like linear algebra, probability, and statistics to more advanced ML techniques, making it an essential manual of NLP-related learnings.✏️ What sets this book apart is not merely the actionable insight it provides, but how it beautifully combines these insights with real-life applications. The transition from text pre-processing techniques to deep learning models, discussed from Chapter 4 through 6, is skillfully supplemented with Python-based case studies, creating a truly immersive learning experience.🛠 For those fascinated by Large Language Models (LLMs), Chapters 7 to 9 delve into everything from theory and design to sophisticated applications like prompt engineering and RAGs, all of which are brought to life through practical code implementations.🧩 The final chapters (10 and 11) critically analyse the current trends influenced by AI and LLMs, while also making well-researched predictions about the future of this industry, preparing readers to stay ahead of the curve.✨ In summary, "Mastering NLP from Foundations to LLMs" is more than just a book; it is a well-rounded guide for anyone keen to tap into the potential of NLP and LLMs. This guide offers an impressive mix of foundational theories, actionable insights, and future forecasts, all while ensuring reader-friendly delivery. Whether you're a beginner or a professional, this book is a brilliant tool to navigate the complex yet exciting world of AI and LLMs.
Amazon Verified review Amazon
Andrew May 26, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a business leader this is a good source for me to refer to. It simplifies complex NLP concepts and also provides practical Python examples to just run and play with.This book empowers leaders by letting better understand what actually happens which feeds into strategic decision-making and driving innovation.Ideally, this would help be competitive in an AI-driven market.
Amazon Verified review Amazon
Ofir Harush May 21, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a cybersecurity student and a big fan of AI, NLP, and ML, I found this book very interesting and helpful for understanding the mathematics and science behind this incredible coding process. Even as a beginner in Python programming, there are many benefits to reading this book. I like that you can see examples and participate in parts of the code.Therefore, I highly recommend this book!
Amazon Verified review Amazon
yael May 24, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Mastering NLP is a comprehensive technical guide for NLP practitioners.It covers critical topics like linear algebra, probability, and statistics, and provides detailed methodologies for text preprocessing, classification, and LLM design.With practical Python code and industry insights, this book is an essential read for those looking to implement state-of-the-art NLP solutions.
Amazon Verified review Amazon
Shai May 15, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book provides a valuable guide to expand your depth of LLMs and real life usage with AWS, and other cloud services. Recommended for anyone seeking a comprehensive resource that covers available options in this growing field.
Amazon Verified review Amazon
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