Introduction to Data Science

This lecture covers the fundamentals of data science, including the process of transforming raw data into valuable information. Topics include classification by decision trees, recent advances in machine learning with convolutional neural networks, and the application of deep reinforcement learning in AlphaGo Zero. The lecture also delves into the challenges of big data, the importance of refining data, and the transition from machine learning to data science. Practical examples and hands-on exercises are used to illustrate key concepts.