Found 4 relevant results in 1.31s where lecturer="Antoine Maillard"
Mostly self-contained, but fast-paced, introductory masters level course on various theoretical aspects of algorithms that aim to extract information from data.
Mostly self-contained, but fast-paced, introductory masters level course on various theoretical aspects of algorithms that aim to extract information from data.
Introductory course to Mathematical aspects of Signal Processing, Network Theory, and Machine Learning. It showcases how different areas of Mathematics (including, but not limited to: Linear Algebra, Probability, Number Theory, Statistics, Combinatorics) interact and find applications in Data Science and related fields.
This student seminar will focus on an Open Problem in Matrix Discrepancy, often referred to as Matrix Spencer.