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size
19.69 x 3.81 x 26.67 cm
Product Information
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
Country Of Origin
India
About Author
Christopher Michael Bishop (Born 7 April 1959) Freng, Frse, Is The Laboratory Director At Microsoft Research Cambridge And Professor Of Computer Science At The University Of Edinburgh And A Fellow Of Darwin College, Cambridge. Chris Obtained A Bachelor Of Arts Degree In Physics From St Catherine'S College, Oxford, And A Phd In Theoretical Physics From The University Of Edinburgh, With A Thesis On Quantum Field Theory.
Author Name
Christopher M. Bishop
Genre
Computer Science
No Of Pages
649
Publisher
Penguin Random House
Product Description
- Premium Quality: This book offers a comprehensive introduction to the central ideas that underpin deep learning, intended both for newcomers to machine learning and for those already experienced in the field.
- Product Design: Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialisation.
- User Experience: The field of deep learning is undergoing rapid evolution, and therefore this book focuses on ideas that are likely to endure the test of time.
- Versatile Occasion: At 649 pages in paperback format, this title serves as both a classroom text and a professional reference for those working in or entering the field of artificial intelligence and computer science.
- Ideal For: Ideal for college students, competitive exam aspirants, and library or book collection buyers seeking an authoritative and future-proof deep learning resource.