Designing Machine Learning Systems By Chip Huyen Paperback

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size

17.53 x 1.78 x 23.11 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

About Author

Chip Huyen Is A Co-Founder Of Claypot Ai, A Platform For Real-Time Machine Learning. Through Her Work At Nvidia, Netflix, And Snorkel Ai, She Has Helped Some Of The World'S Largest Organizations Develop And Deploy Machine Learning Systems. She Teaches Cs

Author Name

Chip Huyen

Genre

Computer Science

Isbn Code

978-1098107963 (Isbn Code), 978-1098107963 (Isbn Code)

No Of Pages

386

Publisher

Penguin Random House

Product Description

Premium Quality: Machine learning systems are both complex and unique - complex because they consist of many different components and involve many different stakeholders, and unique because they are data dependent, with data varying wildly from one use case to the next.

Product Design: This 386-page paperback presents a holistic approach to designing ML systems, structured to guide readers through reliability, scalability, maintainability, and adaptability to changing environments and business requirements.

User Experience: Readers will learn a comprehensive, end-to-end framework for building machine learning systems that hold up in real-world conditions, making this an accessible yet rigorous resource for practitioners at various levels.

Versatile Occasion: Equally valuable as a course textbook, a professional reference, or a self-study guide, this book serves students, engineers, and data scientists working at the intersection of machine learning and systems design.

Quality Assurance: Authored by Chip Huyen - co-founder of Claypot AI and a practitioner with experience at NVIDIA, Netflix, and Snorkel AI - this title carries the authority of someone who has helped some of the world's largest organizations develop and deploy machine learning systems.

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