Deep Learning For Coders With Fastai And Pytorch By Jeremy Howard

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size

18.42 x 2.54 x 23.5 cm

Product Information

Brand Name

Books Kingdom

Ideal For

General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers

Material

Paper

Country Of Origin

India

Pack Of

About Author

I'M A Data Scientist, Researcher, Developer, Educator, And Entrepreneur. I Am A Founding Researcher At Fast.Ai, A Research Institute Dedicated To Making Deep Learning More Accessible, And Am A Distinguished Research Scientist At The University Of San Francisco, Am The Chair Of Wamri, And Am The Chief Scientist At Platform.Ai.

Author Name

Jeremy Howard

Genre

Computer Science

No Of Pages

600

Publisher

Cambridge University Press

Product Description

Premium Quality: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies, but as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code.

Product Design: The book is built around fastai, the first library to provide a consistent interface to the most frequently used deep learning applications, making advanced concepts accessible through a structured, practical format.

User Experience: Written as a hands-on guide, the book allows Python-comfortable programmers to achieve impressive results in deep learning without requiring an extensive mathematical background.

Versatile Occasion: Equally valuable as a self-study resource, a college course companion, or a professional development tool for software engineers and data practitioners entering the field of AI.

Ideal For: Designed for general readers, college students, competitive exam aspirants, and library or book collection buyers with an interest in computer science and machine learning.

Lifestyle Essential: At 600 pages and authored by fast.ai founding researcher Jeremy Howard, this title is an essential addition to any serious programmer's technical library.

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