Minimally Supervised Learning and AI with Sanjoy Dasgupta - Science Like Me скачать в хорошем качестве

Minimally Supervised Learning and AI with Sanjoy Dasgupta - Science Like Me

Sanjoy Dasgupta, a UC San Diego professor, delves into unsupervised learning, an innovative fusion of AI, statistics, and algorithms, seeking to enable machines to learn from their environment without explicit instructions. His unique approach blends algorithmic theory with geometry and mathematical statistics, aiming to mimic human learning capabilities. This method broadens understanding of data interpretation, enhances pattern recognition, and improves decision-making processes. Through his work, Dasgupta provides fresh insights into data science application in machine learning research, exemplifying the potential of human-like learning processes in machines. Discover more about Dasgupta's ground-breaking approach. [6/2023] [Show ID: 38939] Donate to UCTV to support informative & inspiring programming: https://www.uctv.tv/donate More from: Science Like Me (https://www.uctv.tv/data-science/scie...) More from: Data Science Channel (https://www.uctv.tv/data-science) Explore More Science & Technology on UCTV (https://www.uctv.tv/science) Science and technology continue to change our lives. University of California scientists are tackling the important questions like climate change, evolution, oceanography, neuroscience and the potential of stem cells. UCTV is the broadcast and online media platform of the University of California, featuring programming from its ten campuses, three national labs and affiliated research institutions. UCTV explores a broad spectrum of subjects for a general audience, including science, health and medicine, public affairs, humanities, arts and music, business, education, and agriculture. Launched in January 2000, UCTV embraces the core missions of the University of California -- teaching, research, and public service – by providing quality, in-depth television far beyond the campus borders to inquisitive viewers around the world. (https://www.uctv.tv)