EC6 – MLSysBook.AI: Principles and Practices of Engineering Artificially Intelligent Systems
Teacher: Vijay Janapa Reddi (Harvard University).
MLSysBook.AI is an open-source textbook designed to teach Machine Learning Systems Engineering, bridging the gap between theoretical ML concepts and practical engineering principles. It posits that if ML algorithm developers are like astronauts exploring space, ML systems engineers are the rocket scientists and mission control specialists who get them there and keep the mission on track. To this end, MLSysBook.AI covers the entire lifecycle of ML systems—from data engineering and model training to deployment, optimization, and maintenance—emphasizing interdisciplinary approaches, scalability, and real-world applications. It uses TinyML as a practical teaching tool and provides a comprehensive understanding of building robust and efficient ML systems, equipping students with the skills to design, deploy, and maintain cutting-edge AI technologies.
Date: 9/27/2024
Time: 4:00 pm - 6:00 pm
Room/Location:
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Type:
- Education
