Mathematics of Big Data and Machine Learning, IAP 2020
Explore the mathematics behind big data and machine learning in this 14-hour course from MIT. Delve into artificial intelligence with a focus on data handling challenges, guided by instructors Jeremy Kepner and Vijay Gadepally. Learn about cyber network data processing, AI data architecture, and the use of associative arrays. Discover group theory applications, entity analysis in unstructured data, and structured data analysis techniques. Investigate perfect power law graphs, bio sequence cross-correlation, and Kronecker graphs. Gain hands-on experience through numerous demonstrations accompanying each lecture topic. Enhance your understanding of the mathematical foundations crucial for tackling complex data and AI challenges in this comprehensive IAP class.