Dec '25 • General discussion
Introduction to Machine Learning - Harvard CS249
Machine Learning Systems offers a systematic framework for comprehending and designing machine learning (ML) systems. This textbook bridges the gap between theoretical underpinnings and practical engineering, emphasizing the systems perspective essential for constructing effective AI solutions. Unlike resources that primarily focus on algorithms and model architectures, this book provides a broader context for ML systems’ operation, encompassing data engineering, model optimization, hardware-aware training, and inference acceleration. Readers will acquire the ability to analyze ML system architectures and apply enduring engineering principles to build flexible, efficient, and robust machine learning systems.
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Introduction to Machine Learning - Harvard CS249
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