New Software Paradigm
Tim discusses the importance of efficient data representation for machine learning. Keith highlights the concept of modularizing domain knowledge in software engineering. Yannic explores the challenge of guiding students without providing direct solutions in machine teaching scenarios.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
Related Questions
Is the basic pattern of learning in the episode Robotics Research Update, with Keerthana Gopalakrishnan and Ted Xiao of Google DeepMind and the clip Teachability Revolution - fast repetitions, slow down for refinement, and then possibly speed up again for repetition including refinement?
What are some efficient data learning techniques?