Randomization methods for big-data with Stephen Becker

Stephen Becker (CU Boulder) Colorado School of Mines 9/2/16 AMS ColloquiumПодробнее

Learning Algorithm Of Biological NetworksПодробнее

Stephen Becker: Compressed Sensing and Matrix CompletionПодробнее

Video #01 RCTs vs RWEПодробнее

Evaluating the definite integral using basic techniques (Mis-3131)Подробнее

Dr. Tan Bui-Thanh: "Scalable Approaches for Data-Driven PDE-Constrained Bayesian Inverse Problems"Подробнее

Algorithmic stability for generalization guarantees in machine learningПодробнее

DIMACS Sublinear Workshop: Alina Ene - The Power of RandomizationПодробнее

Big data and traffic patterns in Manhattan By Professors Richard Sowers and Dan WorkПодробнее

Becker Brown Bag: Learning From Data, Featuring Steve LevittПодробнее

Data charlatans... and how to spot themПодробнее

MIT CompBio Lecture 03 - Hashing BLAST Database Search (Fall'19)Подробнее

Experiment Builder Tutorial 07 - Data Source Randomization OptionsПодробнее

ADA2 Ch 05-0 Paired Experiments and Randomized Block Experiments, UNM Stat 428/528Подробнее

Using R for statisticsПодробнее

6. Randomization: Matrix Multiply, QuicksortПодробнее

How to read kernel densitiesПодробнее