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Machine_Learning_Systems.pdf40.9 MB
#AIOps
#MLSecOps
#Tech_book
"Machine Learning Systems:
Principles and Practices of Engineering Artificially Intelligent Systems",
School of Engineering and Applied Sciences Harvard University, Nov. 4, 2025.

// This book bridges the gap between theoretical foundations and practical engineering, emphasizing the systems perspective required to build effective AI solutions. Unlike resources that focus primarily on algorithms and model architectures, this book highlights the broader context in which ML systems operate, including data engineering, model optimization, hardware-aware training, and inference acceleration
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