Mastering NLP from Foundations to LLMs
Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
Published on 23. September 2024
340 pages
978-1-80461-638-3 (ISBN)
Description
No detailed description available for "Mastering NLP from Foundations to LLMs".
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
12,20 MB
ISBN-13
978-1-80461-638-3 (9781804616383)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Other editions
Additional editions
Lior Gazit | Meysam Ghaffari
Mastering NLP from Foundations to LLMs
Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
Book
04/2024
Packt Publishing
€88.20
Shipment within 3-4 weeks
Persons
Gazit Lior :
Lior Gazit is a highly skilled Machine Learning professional with a proven track record of success in building and leading teams drive business growth. He is an expert in Natural Language Processing and has successfully developed innovative Machine Learning pipelines and products. He holds a Master degree and has published in peer-reviewed journals and conferences. As a Senior Director of the Machine Learning group in the Financial sector, and a Principal Machine Learning Advisor at an emerging startup, Lior is a respected leader in the industry, with a wealth of knowledge and experience to share. With much passion and inspiration, Lior is dedicated to using Machine Learning to drive positive change and growth in his organizations.Ghaffari Meysam :
Meysam Ghaffari is a Senior Data Scientist with a strong background in Natural Language Processing and Deep Learning. Currently working at MSKCC, where he specialize in developing and improving Machine Learning and NLP models for healthcare problems. He has over 9 years of experience in Machine Learning and over 4 years of experience in NLP and Deep Learning. He received his Ph.D. in Computer Science from Florida State University, His MS in Computer Science - Artificial Intelligence from Isfahan University of Technology and his B.S. in Computer Science at Iran University of Science and Technology. He also worked as a post doctoral research associate at University of Wisconsin-Madison before joining MSKCC.
Lior Gazit is a highly skilled Machine Learning professional with a proven track record of success in building and leading teams drive business growth. He is an expert in Natural Language Processing and has successfully developed innovative Machine Learning pipelines and products. He holds a Master degree and has published in peer-reviewed journals and conferences. As a Senior Director of the Machine Learning group in the Financial sector, and a Principal Machine Learning Advisor at an emerging startup, Lior is a respected leader in the industry, with a wealth of knowledge and experience to share. With much passion and inspiration, Lior is dedicated to using Machine Learning to drive positive change and growth in his organizations.Ghaffari Meysam :
Meysam Ghaffari is a Senior Data Scientist with a strong background in Natural Language Processing and Deep Learning. Currently working at MSKCC, where he specialize in developing and improving Machine Learning and NLP models for healthcare problems. He has over 9 years of experience in Machine Learning and over 4 years of experience in NLP and Deep Learning. He received his Ph.D. in Computer Science from Florida State University, His MS in Computer Science - Artificial Intelligence from Isfahan University of Technology and his B.S. in Computer Science at Iran University of Science and Technology. He also worked as a post doctoral research associate at University of Wisconsin-Madison before joining MSKCC.
Content
Table of Contents
Navigating the NLP Landscape: A comprehensive introduction
Mastering Linear Algebra, Probability, and Statistics for Machine Learning and NLP
Unleashing Machine Learning Potentials in NLP
Streamlining Text Preprocessing Techniques for Optimal NLP Performance
Empowering Text Classification: Leveraging Traditional Machine Learning Techniques
Text Classification Reimagined: Delving Deep into Deep Learning Language Models
Demystifying Large Language Models: Theory, Design, and Langchain Implementation
Accessing the Power of Large Language Models: Advanced Setup and Integration with RAG
Exploring the Frontiers: Advanced Applications and Innovations Driven by LLMs
Riding the Wave: Analyzing Past, Present, and Future Trends Shaped by LLMs and AI
Exclusive Industry Insights: Perspectives and Predictions from World Class Experts
Navigating the NLP Landscape: A comprehensive introduction
Mastering Linear Algebra, Probability, and Statistics for Machine Learning and NLP
Unleashing Machine Learning Potentials in NLP
Streamlining Text Preprocessing Techniques for Optimal NLP Performance
Empowering Text Classification: Leveraging Traditional Machine Learning Techniques
Text Classification Reimagined: Delving Deep into Deep Learning Language Models
Demystifying Large Language Models: Theory, Design, and Langchain Implementation
Accessing the Power of Large Language Models: Advanced Setup and Integration with RAG
Exploring the Frontiers: Advanced Applications and Innovations Driven by LLMs
Riding the Wave: Analyzing Past, Present, and Future Trends Shaped by LLMs and AI
Exclusive Industry Insights: Perspectives and Predictions from World Class Experts
