Columbia Statistical Machine Learning Bootcamp: Jarek Błasiok | Part 2 @ColumbiaDataScience
Columbia Statistical Machine Learning Bootcamp: Jarek Błasiok | Part 2  @ColumbiaDataScience
Uploaded May 2020 | Updated September 2026, 2 weeks ago
Concentration of Measure by Jarek Błasiok | Part 2

Part of Statistical Machine Learning Bootcamp (January 14-16, 2020)

The Columbia Year of Statistical Machine Learning aims to bring together leading researchers whose work is at the forefront of theoretical, methodological, and applied statistical machine learning. The Columbia Year of Statistical Machine Learning will consist of bi-weekly seminars, workshops, and tutorial-style lectures, with invited speakers. The special year is sponsored by both the Department of Statistics and TRIPODS Institute at Columbia University.

http://statisticalml.stat.columbia.edu/event/machine-learning-bootcamp/
Columbia Statistical Machine Learning Bootcamp: Jarek Błasiok | Part 2iCubed Seminar: JPMorgan ChaseChristos H. Papadimitriou (Columbia University): Complexity Obstacles to LearningTalk: Sergei Gukov, CaltechAuto-SDA: Automated Video-Based Social Distancing AnalyzerData for Good: L. Jean Camp, Indiana UniversityMQTT (Message Queuing Telemetry Transport): Smart Cities Poster SessionTowards Finer-Grained Access Control for Globally Accessible IoTPanel Discussion: AI in MathiCubed Seminar: Samuel Sharpe, Capital OneiCubed Seminar: Tushar Agrawal, IBM (In-Person)Secure Data Science: Detect, Defend, Deter | Data Science Day 2025 – Columbia University
Columbia Data Science Institute |

Columbia Statistical Machine Learning Bootcamp: Jarek Błasiok | Part 2

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