Search for tag: "data science"

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01:05:20 Math Stats-Colloquium-2021-Uhler Math Stats-Colloquium-2021-Uhler	Math Stats-Colloquium-2021-Uhler Presentation by Prof. Caroline Uhler, Spring 2021, Math and Statistics Joint Colloquium. Causal Inference in the Light of Drug Repurposing for COVID-19… data science training cell drug space drugs examples network effect autoencoder identity things problem question lot function protein point types kinds disease From Jesus De Loera on April 6th, 2021 0 likes 8 plays 0
56:43 MADDD-HenryAdamsSpring2020 MADDD-HenryAdamsSpring2020	MADDD-HenryAdamsSpring2020 data science topology applied geometry machine learning homology points machine geometry holes bars circle point lot intervals model shape dataset energy surface bit components fish features From Jesus De Loera on June 3rd, 2020 0 likes 26 plays 0
58:41 MADDD-VenkatChandrasekaran MADDD-VenkatChandrasekaran	MADDD-VenkatChandrasekaran 05/12 presentation by Venkat Chandrasekaran (Caltech)Title: Fitting Convex Sets to DataAbstract: A number of problems in signal processing may be viewed conceptually as fitting a convex set to data.… data science convex sets and geometric inequalities optimization convex points problem sets linear regularizer ball programming kind question rank structure point image learning norm things access algorithm dictionary From Jesus De Loera on May 17th, 2020 0 likes 53 plays 0
41:26 MADDD YianMa-Spring2020 MADDD YianMa-Spring2020	MADDD YianMa-Spring2020 Presentation by Yian Ma (UC San Diego) Title: Briding MCMC and OptimizationAbstract: In this talk, I will discuss three ingredients of optimization theory in the context of MCMC: Non-convexity, … data science mathematics optimization probability markov chains gradient algorithm kind convergence distribution dynamics function lot descent matrix dimension algorithms mcmc theta convex space variable approach times From Jesus De Loera on May 1st, 2020 0 likes 78 plays 0
01:03:01 MADDD-HopkinsSpring2020 MADDD-HopkinsSpring2020	MADDD-HopkinsSpring2020 Talk by Sam Hopkins (UC Berkeley) Title: From Proofs to Algorithms for High-Dimensional Statistics Abstract: I will discuss a novel technique, "Proofs to Algorithms," for designing and… mathematics data science algorithms proof squares identifiability problem algorithm sum samples inequalities clusters statistics problems kind question cluster polynomials parameters clustering distribution optimization From Jesus De Loera on April 28th, 2020 0 likes 37 plays 0
12:25 DSC - Panel2 - 02-05-2019 - Adaptive Management… DSC - Panel2 - 02-05-2019 - Adaptive Management Forum	DSC - Panel2 - 02-05-2019 - Adaptive Management Forum Adaptive Management Forum Panel Discussion: Case studies from other large-scale systems. Panelists: Sally Rudd, Kurt Kowalski, Ronald Thom, Moderator Maggie Christman biology management working system monitoring slandering data science endangered species evidence (crime) microphone influencing (society) interest groups (business) mech capt lunch financial trading sacrifice (religion) the clovers From ATS Video on February 8th, 2019 0 likes 16 plays 0