The Statistics And Calculus With Python Workshop A Comprehensive Introduction To Mathematics In Python For Artificial Intelligence Applications(1st Edition)
Authors:
Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, Marios Tsatsos
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 1800209762, 978-1800209763
Book publisher: Packt Publishing
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Book Price $0 : The book 'The Statistics And Calculus With Python Workshop' provides a robust framework for leveraging Python in artificial intelligence applications, particularly through the powerful lenses of statistics and calculus. Authored by Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, and Marios Tsatsos, this comprehensive guide introduces key technical themes, including data analysis, machine learning techniques, and mathematical concepts such as derivatives, integrals, and probability distributions. It is pivotal for analysts and developers aiming to blend mathematical theory with programming for robust AI solutions. The structured approach of the book is evidenced by its meticulously organized table of content, which ensures a smooth learning curve. Each chapter is constructed with practical examples and coding exercises, reinforcing learning through hands-on practice. The inclusion of a solution manual and answer key helps readers verify their understanding and correct their mistakes, making this textbook an invaluable asset for both self-learners and formal courses. With rave reviews for its clarity and depth, this workshop not only facilitates technical proficiency in Python-related AI applications but also ensures foundational strength in mathematics. Such a dual focus ensures that learners are well-prepared for advanced analytics challenges and machine learning innovations. In conclusion, the book empowers users to apply theoretical math concepts practically, facilitating the creation of highly specialized AI models using Python. With cheap online options available, acquiring this book has never been more convenient.
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JS
Got this book for my course MATH 4053: Applied Statistics and Calculus for AI with Python since it was free and figured it couldn’t hurt. It’s alright but kinda hit or miss for me—some parts are easy to read and help with the basics but it can get kinda wordy and complicated in spots, at least for someone still wrestling with calculus. I’m only halfway in and using it when I can, but not sure it’s exactly perfect for total beginners or super quick study. The material does cover what I need though and it’s nice not having to pay for it. Hope it stays useful through the semester.




























