Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mastering NLP from Foundations to LLMs: Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python

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

Gazit, Lior
Ghaffari, Meysam
Saxena, Asha

Paperback

General ComputersGeneral Mathematics

ISBN10: 1804619183
ISBN13: 9781804619186
Publisher: Packt Publishing
Published: Apr 26 2024
Pages: 340
Weight: 1.29
Height: 0.71 Width: 7.50 Depth: 9.25
Language: English

Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends

Key Features
  • 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
Book 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.

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