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portada Introduction to Machine Learning Systems
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
976
Format
Hardcover
Dimensions
25.4x20.32 cm
ISBN13
9780262058889

Introduction to Machine Learning Systems

Vijay Janapa Reddi (Author) · MIT Press · Hardcover

Introduction to Machine Learning Systems - Vijay Janapa Reddi

New Book Imported to Taiwan
Delivery: 22 Dec - 08 Jan Shipping: 70 to 74 business days.
NT$ 3,443
NT$ 3,443

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Synopsis "Introduction to Machine Learning Systems"

An innovative textbook that uses a systems approach to teach students and practitioners how to engineer machine learning systems that are reliable, efficient, and scalable in real-world settings.

This groundbreaking textbook provides a comprehensive framework for understanding and engineering machine learning systems, emphasizing the systems perspective required to build effective AI solutions. Unlike resources that focus primarily on algorithms and model architectures, Introduction to Machine Learning Systems integrates engineering principles, system abstractions, and practical techniques to bridge the persistent gap between theoretical foundations and production. It covers the full lifecycle, including systems foundations, data pipelines, training and inference infrastructure, deployment, monitoring, benchmarking, security, privacy, and sustainability. The scope spans edge devices, embedded systems, and large-scale cloud platforms. Following a pedagogical progression that mirrors how expert engineers develop their skills, this learn-by-doing text equips readers to reason about machine learning system architectures and apply enduring engineering principles to build flexible, efficient, and robust machine learning systems.

Provides end-to-end coverage of the machine learning systems lifecycle Emphasizes benchmarking, performance, and empirical rigor Offers rich pedagogy including learning objectives and self-check questions  Integrates with open-source tooling and real system case studies Based on the author’s popular Harvard course and class tested by thousands of students worldwide Features extensive supplemental resources including labs

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The binding of this edition is Hardcover.

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