EVS Session 1 Intro
Extreme Value Statistics, Introduction.
Jef Caers
Advaces in Partial Least Squares (PLS-SEM) - Blindfolding, PLSpredict, Goodness-of-fit in PLS-SEM
Partial least squares structural equation modeling (PLS-SEM) has recently received considerable attention in a variety of disciplines, including marketing, ...
Research Beast
Webinar 2 | Statistical Methods in Analyzing Data (for Beginning Researchers)
Statistical Methods in Analyzing Data for Beginning Teachers A webinar activity of the Schools Division of Tarlac Province Parts of the discussion: Part I: Basic ...
Jasper Serrano
On Computational Thinking, Inferential Thinking and Data Science
Speaker: Michael Jordan Title / Affiliation: Professor, Departments of Statistics and EECS, University of California, Berkeley Talk Abstract: The rapid growth in the ...
IBM Research
AI Institute "Geometry of Deep Learning" 2019 [Workshop] Day 1 | Session 1
Deep learning is transforming the field of artificial intelligence, yet it is lacking solid theoretical underpinnings. This state of affair significantly hinders further ...
Microsoft Research
G-Research Lecture with Professor Michael I. Jordan on Artificial Intelligence
The G-Research Lecture Series returns with this specially commissioned lecture with Professor Michael I. Jordan titled 'Artificial Intelligence: Perspectives and ...
G-Research
Predicting Travel Time Reliability using Mobile Phone GPS Data
IMS-Microsoft Research Workshop: Foundations of Data Science - Predicting Travel Time Reliability using Mobile Phone GPS Data Probabilistic forecasts of ...
Microsoft Research
BBR5: Biostatistics for Biomedical Research Session 5
One-sample methods for means and proportions More information about course content is available at https://hbiostat.org/bbr/schedule.html where you will see ...
BBRcourse
The Curse of Dimensionality for Local Learning
We present a series of arguments supporting the claim that a large class of modern learning algorithms based on local kernels are highly sensitive to the curse ...
Microsoft Research
Mike Jordan at Judea Pearl Symposium
UCLA computer science professor Judea Pearl was honored March 12, 2010 at an all-day workshop celebrating his influential contributions in artificial ...
UCLA
Danilo Bzdok: "Algorithmic Analytics towards Precision Psychiatry"
Computational Psychiatry 2020 "Algorithmic Analytics towards Precision Psychiatry" Danilo Bzdok - McGill University Abstract: Neuroscience datasets are ...
Institute for Pure & Applied Mathematics (IPAM)
Modeling Science: Dynamic Topic Models of Scholarly...
Google Tech Talks May 24, 2007 ABSTRACT A surge of recent research in machine learning and statistics has developed new techniques for finding patterns of ...
GoogleTechTalks
Nonparametric thresholding tutorial using Randomise
Here's a link to the code: https://www.dropbox.com/sh/kn15y8zat3nhtpc/AAC5bY3YnCs1CJl4nsV4e4TLa?dl=0 Link to Randomise user guide: ...
mumfordbrainstats
Mad Max: Affine Spline Insights into Deep Learning
Richard Baraniuk (Rice University) https://simons.berkeley.edu/talks/tbd-75 Frontiers of Deep Learning.
Simons Institute
Physics ∩ ML Workshop (Day 2): Short Talks and Discussions
The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together.
Microsoft Research
Marina Meilă: "Manifold Learning"
Machine Learning for Physics and the Physics of Learning Tutorials 2019 "Manifold Learning" Marina Meilă, University of Washington Institute for Pure and ...
Institute for Pure & Applied Mathematics (IPAM)
Recent advances in high dimensional robust statistics - Daniel Kane
Computer Science/Discrete Mathematics Seminar I Topic: Recent advances in high dimensional robust statistics Speaker: Daniel Kane, University of California, ...
Institute for Advanced Study
Is Your Data Dense?
Speaker- Jade Le Van, Florian Ramseger Dense data can be challenging: a large number of data points can make it difficult to find relevant insights. In this talk ...
Tableau Software
InQuERY Series: Power Up Your Experimental Designs | UCLA Department of Nursing
InQuERY Series: Power Up Your Experimental Designs: A Step-Wise Approach to Statistics and Power Analysis With Mary Woo, PhD, RN, UCLA School of ...
UCLA Health
Kruskal Wallis Test in SPSS
This Video shows you two different methods of running a Kruskal Wallis test in SPSS (the latter version includes pairwise comparisons) and advice on how to ...
Comprehensive Statistics Guides
EMS Leadership & Management - Quality & Research 07: Databases and Quality Analysis
This is the presentation for Chapter 7 in the WCTC online EMS Leadership and Management Technical Diploma program's Quality Management and Research ...
WCTCEMS
Parametric Probability Distribution Fitted to Data with Bayes's Theorem
James Rock explains how he's using Bayes's Theorem to fit data to a parametric distribution with Mathematica in this talk from the Wolfram Technology ...
Wolfram
Amit Singer on Vector Diffusion Maps and the Connection Laplacian
"Vector Diffusion Maps and the Connection Laplacian" Amit Singer Partha Niyogi Memorial Conference: Computer Science December 4, 2011 This conference ...
The University of Chicago
RI Seminar : Pieter Abbeel : Machine Learning and Optimization for Robotics
Pieter Abbeel Assistant Professor, Department of Electrical Engineering and Computer Science, UC Berkeley October 18, 2013 Abstract Robots are typically far ...
cmurobotics
Introduction to Outlier Detection Methods - Wolfram Livecoding Session
Andreas Lauschke, a senior mathematical programmer, live-demos key Wolfram Language features useful in data science. In the sixth session, Andreas ...
Wolfram
Deep Learning Decal Fall 2017 Lecture 5: Linear Factor Models
The fifth lecture of the deep learning decal. Check the website for updates: https://ml.berkeley.edu/decals/DLD and the repository for slides: ...
Machine Learning at Berkeley
DSP_Uds_SS15_lec5_part1
Rahil Mahdian Subjects: Random signals, Stationary signals, Autocorrelation/Autocovariance, PSD, Cross- Correlation/Covariance, WOLD decomposition ...
DSP_Summer2015_UdS_Germany
KDE Part 2 - Model Building and Validation
This video is part of an online course, Model Building and Validation. Check out the course here: https://www.udacity.com/course/ud919.
Udacity
Module 2.8 Overview and status of evolving technologies
This video is the GOFC-GOLD World Bank training module on 'Overview and status of evolving technologies', and is part of the REDD+ MRV training module ...
GOFC-GOLD Land Cover Office
"Challenges for Machine Learning in Computational Sustainability" (CRCS Lunch Seminar)
CRCS Lunch Seminar (Monday, March 4, 2013) Speaker: Tom Dietterich, Oregon State University Title: Challenges for Machine Learning in Computational ...
Harvard's CRCS
محاضرة بعنوان مقدمة في spss
في الخامس عشر من شهر يناير لسنة 2018 أقيمت دورة بعنوان: مقدمة في spss. من تقديم الأستاذ أحمد العبري. طالب دكتوراه...
Saudiexeter
Sylvia Frühwirth-Schnatter: Bayesian econometrics in the Big Data Era
Abstract: Data mining methods based on finite mixture models are quite common in many areas of applied science, such as marketing, to segment data and to ...
Centre International de Rencontres Mathématiques
Machine Learning Accelerates Performance Testing Analysis
Experiencing slowdowns or outages is no way to discover that your website or web application has a problem under load – particularly during the holiday ...
SmartBear
VIDEO 1: Framework Standard Methodology
In this Video, I will explain the difference between Framework, Standard, and Methodology, and how can we relate them to Project Management Knowledge.
AUC
Graphical models in machine learning, networks and quantification – A. Bertozzi – ICM2018
Mathematics in Science and Technology Invited Lecture 17.10 Graphical models in machine learning, networks and uncertainty quantification Andrea Bertozzi ...
Rio ICM2018
Peter Diggle: Spatial and Spatio-Temporal Log-Gaussian Cox processes: Re-defining Geostatistics
From the 2014 Workshop on Spatiotemporal Modelling with Gaussian Processes. Full details of the workshop are available here: ...
Open Data Science Initiative
Yoshua Bengio: "Representation Learning and Deep Learning, Pt. 4"
Graduate Summer School 2012: Deep Learning, Feature Learning Representation Learning and Deep Learning, Pt. 4" Yoshua Bengio, University of Montreal ...
Institute for Pure & Applied Mathematics (IPAM)
MISS 2014 (09) - Guido Gerig (University of Utah, US), Lecture 2
QUANTIFICATION OF OBJECT DYNAMICS BY SPATIOTEMPORAL SHAPE ANALYSIS Rapid advances in image acquisition and shape capturing technology ...
zammù multimedia - Università di Catania
2020 UWFC Paper 1 Presentation
Presentation of paper titled “Deep Learning in Asset Pricing” at the 2020 Utah Winter Finance Conference. Authors are Markus Pelger (Stanford), Luyang Chen ...
Utah Winter Finance Conference
Oscar Gonzalez: On Learning Machine Learning
On February 14, 2020, Oscar Gonzalez, an Assistant Professor of Psychology and Neuroscience at the University of North Carolina at Chapel Hill, presented "On ...
Carolina Population Center
Lecture 02 machine learning for health class of 2020
Welcome to the class of 2020 of the course “machine learning for health informatics”. In the second lecture we get an overview of three essential topics: Data, ...
Andreas Holzinger
Amin Karbasi on Virtual Foundations of Data Science Series (May 15, 2020)
Title: User-Friendly Submodular Maximization Abstract: Submodular functions model the intuitive notion of diminishing returns. Due to their far-reaching ...
Data Science Theory
