×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Mastering NLP from Foundations to LLMs. Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems

(ebook) (audiobook) (audiobook) Książka w języku 1
Mastering NLP from Foundations to LLMs. Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems Lior Gazit, Meysam Ghaffari - okladka książki

Mastering NLP from Foundations to LLMs. Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems Lior Gazit, Meysam Ghaffari - okladka książki

Mastering NLP from Foundations to LLMs. Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems Lior Gazit, Meysam Ghaffari - audiobook MP3

Mastering NLP from Foundations to LLMs. Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems Lior Gazit, Meysam Ghaffari - audiobook CD

Ocena:
This book provides an in-depth introduction to natural language processing (NLP) techniques, starting with the mathematical foundations of machine learning and working up to advanced NLP applications such as Larg Language Models (LLMs) and AI applications. The second chapter covers linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. The third chapter delves into general machine learning techniques and relates them to NLP. The forth chapter covers preprocessing of text data, including methods for cleaning and preparing text for analysis. The fifth and sixth chapters covers text classification, which is the task of assigning a label or category to a piece of text based on its content. The seventh through ninth chapters discuss the advanced topics of LLMs’ theory, design, and applications. The tenth chapter looks ahead to future trends in NLP, and the eleventh chapter features expert opinions on the future of the field. This book also covers some of the sample real world NLP business problems and solutions.

Wybrane bestsellery

O autorach książki

Lior Gazit is a highly skilled Machine Learning professional with a proven track record of success in building and leading teams that use Machine Learning to 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 manuscripts. As the Executive 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
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

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności