Explores the intersection between neuroscience and machine learning, discussing deep learning, reinforcement learning, memory systems, and the future of bridging machine and human-level intelligence.
Delves into deliberate, spaced, and interleaved practice for expertise acquisition, emphasizing the benefits of structured activities and varied learning approaches.
Discusses the influence of prior knowledge on learning, covering organization, practice, memory, and effective strategies for understanding and retention.
