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

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Autorzy:
    Lior Gazit, Meysam Ghaffari, Asha Saxena
    Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python Lior Gazit, Meysam Ghaffari, Asha Saxena - okladka książki

    Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python Lior Gazit, Meysam Ghaffari, Asha Saxena - okladka książki

    Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python Lior Gazit, Meysam Ghaffari, Asha Saxena - audiobook MP3

    Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python Lior Gazit, Meysam Ghaffari, Asha Saxena - audiobook CD

    Serie wydawnicze:
    Mastering
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    340
    Dostępne formaty:
         PDF
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    Ebook (29,90 zł najniższa cena z 30 dni)

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    Do przechowalni

    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.

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    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

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