Learn about efficient machine learning in this comprehensive lecture from MIT HAN Lab that explores cutting-edge techniques and methodologies for optimizing ML systems. Delve into strategies for developing resource-efficient machine learning models while maintaining high performance and accuracy. Discover practical approaches to addressing computational constraints, reducing energy consumption, and improving model efficiency in real-world applications. Gain valuable insights into the latest research and developments in efficient ML architectures, model compression techniques, and deployment strategies for resource-constrained environments.