Approximation Power
Matus Telgarsky (University of Illinois, Urbana-Champaign) https://simons.berkeley.edu/talks/representation Deep Learning Boot Camp.
Simons Institute
Anomaly Detection in Large Networks using Approximation Techniques [1/7]
A tremendous enthusiasm for amassing enormous amounts of network measurement data has spurred the development of numerous applications that ...
Microsoft Research
LATAM 2011: Plenary Session - Computing and the Future
NULL.
Microsoft Research
Design and Innovation Seminar: Alice Agogino "Valuing Design"
Berkeley Engineering
Harish S. Bhat - Data Driven Modeling and Prediction of Startup Exits
Assistant Professor Applied Mathematics School of Natural Sciences University of California, Merced Sponsor: CITRIS (Ctr for Info Technology Research in the ...
CITRIS
DATA ANALYSIS USING PYTHON, JUPYTER NOTEBOOK, IT ASSIGNMENT, NSU
IT ASSIGNMENT DATA ANALYSIS REPORT OF THE HEALTH AND POPULATION STATISTICS OF EAST ASIAN AND PACIFIC COUNTRIES. Assessment and ...
Assignmentpoint BD
Locally-biased and semi-supervised eigenvectors; Michael Mahoney
The second eigenvalue of a Laplacian matrix and its associ-ated eigenvector are fundamental features of an undirected graph, and as such they have found ...
MMDS Foundation
NIPS 2014 Workshop - (Nowozin) Discrete Optimization in Machine Learning
This workshop addresses questions at the intersection of discrete and combinatorial optimization and machine learning. Solving optimization problems with ...
NIPS
April 13, 2015: Irfan Sidiqqi
Unraveling the Quantum Ensemble.
Physics @ Berkeley
Jim Crutchfield - "Demonology" (Physics Colloquium 2018)
Demonology: The Curious role of Intelligence in Physics & Biology” Dr. James P . Crutchfield, University of California, Davis For the lion's share of its history, ...
UMBC Physics Department
Cyberinfrastructure Day 2017: Innovative Technology - Mike Lewicki, PhD, Phoebe Stewart, PhD
Presenters: Mike Lewicki, PhD, Phoebe Stewart, PhD April 5, 2017.
Case Western Reserve University
Statistical Inference and Privacy, Part III
Rachel Cummings (Georgia Institute of Technology) Sesa Slavkovic (Pennsylvania State University) ...
Simons Institute
Facilitating Scientific Insight with Sunfall
Facilitating Scientific Insight with Sunfall Cecilia Aragon [Staff Scientist, LBNL] Abstract: Many of today's important scientific breakthroughs are made by large, ...
CITRIS
Sontag - Clinical Machine Learning
CHIBI guest seminar: David Sontag NYU Courant Inst. faculty, machine learning on clinical data with Markov models.
Stuart Brown
Phase Transitions in the Dynamics of Quantum Information: Soonwon Choi
Presented at the Berkeley Center for Theoretical Physics string theory seminar on January 29, 2020. Posted with permission of the speaker. Video recording and ...
Bousso Group at Berkeley
The long way to the Statistical Bootstrap Model—part I
Keynote talk by Rolf Hagedorn, CERN, at the “Hot Hadronic Matter: theory and experiment” workshop, Divonne 1994, Published in Proceedings, NATO-ASI 346, ...
Creation of matter
Election Forensics: Distinguishing Strategic Behavior from Frauds
BIDS Data Science Lecture Series | March 6, 2015 | 1:00-2:30 p.m. | 190 Doe Library, UC Berkeley Speaker: Walter Mebane, Professor of Political Science and ...
Berkeley Institute for Data Science (BIDS)
Session 7 - Information Processing and Climate Change
CONFERENCE ON AMBIGUITY, UNCERTAINTY, AND CLIMATE CHANGE http://calclimate.wordpress.com Session 7 - Information Processing and Climate ...
UC Berkeley Events
From Data to Knowledge - 301 - Petros Drineas
Slides: http://lyra.berkeley.edu/CDIConf/pdfs/Drineas_FromDataToKnowledge_Berkeley_2012.pdf Petros Drineas: "Randomized Algorithms in Data Mining: a ...
ckleinastro
MIDAS Seminar Series Presents: Eric Xing – Carnegie Mellon University
FROM PERFORMANCE-ORIENTED AI TO PRODUCTION- AND INDUSTRIAL-AI Machine Learning systems for complex tasks – such as controlling industrial ...
Michigan Institute for Data Science
[CS6101-1820] Deep Reinforcement Learning - Week 7 - Model-Based RL
Model Based Reinforcement Learning Lecture facilitated by Luo Wuqiong (Nick), Xiao Nan, and Kishaloy Halder. Original Slides and Videos from Sergey Levine ...
Min-Yen Kan
Computing Tools for Statisticians - Class #17 (LyX)
See http://www.chrisbilder.com/stat850 for the lecture notes. This class completes the introduction to LyX and begins discussing how to use Beamer in LyX.
Chris Bilder
Learn Data Science Tutorial - Full Course for Beginners
Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important ...
freeCodeCamp.org
Lusin’s theorem and mechanism design
Peter Hammond University of Warwick, UK.
Institute for Mathematical Sciences
Theory of Data Streams
S. Muthu Muthukrishnan, Rutgers University and Microsoft Research Symposium on Visions of the Theory of Computing, May 30, 2013, hosted by the Simons ...
Simons Institute
A Short Tour of the Laws of Entanglement (And How to Evade Them)
Patrick Hayden, Stanford University Quantum Games and Protocols http://simons.berkeley.edu/talks/patrick-hayden-2014-02-27.
Simons Institute
Selective Inference and False Discovery Rate I
Yoav Benjamini, Tel Aviv University Big Data and Differential Privacy http://simons.berkeley.edu/talks/yoav-benjamini-2013-12-11a.
Simons Institute
Panel 7 - 2016 CARE Conference - Perspectives on Fraud
Dan Amiran (Moderator) Philip H. Geier Jr. Associate Professor of Business, Columbia Business School Jonathan Karpoff Washington Mutual Chair in ...
notredamebusiness
The future of numerical weather prediction will be determined by computing
Peter Bauer (European Centre for Medium-Range Weather Forecasts, ECMWF, UK)
Ecole de Physique des Houches
How to Avoid Faulty Conclusions of Statistical Paradoxes
With EGG On Air, we continue on our mission to bring together the AI community with opportunities to collaborate with experts, thought leaders, and practitioners ...
Dataiku
Astronomy Daily *Live* 2019.07.31 | Relativistic Star S0-2
Astronomy Daily *Live* Discord server: https://discord.gg/bSjBt9q My blog: http://astroandmusic.blogspot.com/ Twitter: @AstroAndMusic Support my ongoing ...
cosmiclettuce
Robert M. Gray: Source Coding and Simulation
2008 Shannon Lecture Source Coding and Simulation Professor Robert M. Gray Stanford University Abstract: The observation that good source codes with ...
IEEE Information Theory Society
Yoav Benjamini: A review of challenges in high dimensional multiple inferences
Abstract: I shall classify current approaches to multiple inferences according to goals, and discuss the basic approaches being used. I shall then highlight a few ...
Centre International de Rencontres Mathématiques
CRAMER - RAO INEQUALITY REVISITED
Indian Academy of Sciences
Bayesian Inference
Michael Newton from University of Wisconsin, Madison presents a lecture on "Bayesian Inference." ** Note, there was some technical difficulty from 18:46-30:28.
The Foundations of Biomedical Data Science
Using Model Reduction to Bridge the QSP Pharmacometrics Divide
One of the biggest challenges – and, hence, the biggest opportunity for quantitative systems pharmacology (QSP) – is drug attrition in Phase 2 clinical trials.
Certara
Faculty Summit 2016 - How to Keep your Genome Secret
Over the last 10 years, the cost of sequencing the human genome has come down to around $1000 per person. Human genomic data is a gold-mine of ...
Microsoft Research
Mod-07 Lec-23 Constraint Qualifications
Numerical Optimization by Dr. Shirish K. Shevade, Department of Computer Science and Engineering, IISc Bangalore. For more details on NPTEL visit ...
nptelhrd
Before the Big Bang 8: Varying Speed Of Light Cosmology (VSL)
Cosmologists challenging the foundations of physics are featured in this documentary on VSL. Variable Speed of Light (aka varying speed of light) suggests that ...
skydivephil
How To Do Massive Data Machine Learning -- eHarmony Tech Talk with Alex Gray
About This Talk: We'll begin by looking at seven basic types of machine learning problems, such as classification and clustering, and the best methods used to ...
Skytree, Inc.
Symposium on Blockchain for Robotic Systems
Robotic systems are revolutionizing applications from transportation to health care. However, many of the characteristics that make robots ideal for future ...
MIT Media Lab
Lliçó d'Economia del curs 2011-2012
Hal Varian, economista en cap de Google i professor emèrit de la Universitat de Califòrnia a Berkeley,, va impartir "Predicting the Present with Search Engine ...
Universitat Pompeu Fabra - Barcelona
