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Hands-On Machine Learning With Scikit-Learn And Pytorch Paperback
₹7,599
₹15,209
50% OffFinal Price inclusive of all taxes
size
17.78 x 5.08 x 23.34 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
Paperback
Country Of Origin
India
Pack Of
1
About Author
AurLien GRon Is A Machine Learning Consultant. A Former Googler, He Led Youtube'S Video Classification Team From 2013 To 2016. He Was Also A Founder And Cto Of Wifirst From 2002 To 2012, A Leading Wireless Isp In France, And A Founder And Cto Of Polyconseil In 2001, A Telecom Consulting Firm. Before This He Worked As An Engineer In A Variety Of Domains: Finance (Jp Morgan And SociT GNRale), Defense (Canada'S Dod), And Healthcare (Blood Transfusion). He Published A Few Technical Books (On C++, Wifi, And Internet Architectures), And Was A Computer Science Lecturer In A French Engineering School. A Few Fun Facts: He Taught His 3 Children To Count In Binary With Their Fingers (Up To 1023), He Studied Microbiology And Evolutionary Genetics Before Going Into Software Engineering, And His Parachute Didn'T Open On The 2Nd Jump.
Author Name
Aurã©Lien Gã©Ron
Genre
Programming & Software Development
No Of Pages
875
Publisher
O'Reilly Media, O'Reilly Media
Product Description
- Premium Quality: The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity.
- Product Design: This book serves as a practical jumping-off place for those looking to enhance their skill set and apply machine learning to real-world projects, as well as those simply curious about how AI systems function.
- User Experience: Written by Aurelien Geron, a former Googler who led YouTube's video classification team, the book brings deep industry expertise to accessible, hands-on learning.
- Versatile Occasion: At 875 pages, this comprehensive paperback edition covers both Scikit-Learn and PyTorch, making it suitable for students, working professionals, and self-taught developers alike.
- Ideal For: Ideal for college students, competitive exam aspirants, and tech professionals seeking to build or deepen their machine learning knowledge through applied practice.
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