On the (unreasonable) effectiveness of compressive imaging – Ben Adcock, Simon Fraser University
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Statistical Modeling in Business Analytics with R | Edureka
( R Training : https://www.edureka.co/r-for-analytics ) A statistical model is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or more other variables. The topic co
From playlist R Tutorial Videos
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Linear Modeling using Statsmodels - Video Lecture 11
This module aims to explain as much of the basics of linear modelling as possible. We start with correlation and then learn about linear regression. You can watch the video lecture or read the PDF document. There is an exercise file that you should attempt to complete.
From playlist Data Science @ Stellenbosch University
Statistical Modeling in Business Analytics with R | Edureka
( R Training : https://www.edureka.co/r-for-analytics ) A statistical model is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or more other variables. The topics in
From playlist R Tutorial Videos
Jonathan Weare (DDMCS@Turing): Stratification for Markov Chain Monte Carlo
Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number of variables for practical computation and accurate prediction. In general, it is difficult to identify and parameterize the crucial features that must be incorp
From playlist Data driven modelling of complex systems
Eric Vanden-Eijnden (DDMCS@Turing): Neural networks as interacting particle systems
Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number of variables for practical computation and accurate prediction. In general, it is difficult to identify and parameterize the crucial features that must be incorp
From playlist Data driven modelling of complex systems
Data Modeling Tutorial | Data Modeling for Data Warehousing | Data Warehousing Tutorial | Edureka
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, th
From playlist Data Warehousing Tutorial Videos
Statistical Rethinking 2022 Lecture 10 - Counts & Confounds
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music etc: Intro: https://www.youtube.com/watch?v=Qut2getKFT4 River Kelvin: https://www.youtube.com/watch?v=hh2Vs13sdNk Tide machine: https://www.youtube.com/watch?v=DmxLUb8g10Q Lego tides: https://www.y
From playlist Statistical Rethinking 2022
Statistical Rethinking 2022 Lecture 15 - Social Networks
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro: https://www.youtube.com/watch?v=Mm0AG5Zr1IU Music: https://www.youtube.com/watch?v=0iVdR2rtD90 Pause: https://www.youtube.com/watch?v=pxPdsqrQByM Chapters: 00:00 Introduction 03:46 Sharing and ne
From playlist Statistical Rethinking 2022
Statistical Rethinking - Lecture 19
Lecture 19 - Gaussian processes, measurement error - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Fellow Short Talks: Professor David Firth, University of Warwick
Bio Professor of Statistics at Warwick and Director of WDSI. Previously Professor of Social Statistics at Oxford. ESRC Professorial Fellow (2003-2006). Fellow of the British Academy (2008). RSS Guy Medals in Bronze (1998) and Silver (2012). John M Chambers Statistical Software Award, 2007
From playlist Short Talks
Just machine learning In this talk, I will address some concerns about the use of machine learning in situations where the stakes are high (such as criminal justice, law enforcement, employment decisions, credit scoring, health care, public eligibility assessment, and school assignments).
From playlist DSI Virtual Seminar Series
Stanford Women in Data Science conference - Q&A panel 1
The Stanford Women in Data Science conference (WiDS) is a one day global conference that will bring data scientists together to share cutting edge research. The conference aim is to inspire and encourage data scientists worldwide and exclusively support women in the field. We will proudl
From playlist Women in data science conference
In questo video parlo un po' dell'indice di Gini, importante misura di concentrazione utilizzata nello studio della disuguaglianza economica. Cerco di spiegare l'intuizione alla base dell'indice, e come evitare di farsi prendere per il naso, quando qualcuno ne parla. Indice: 00:00 Intro e
From playlist Sproloqui e commenti (in Italian)
Statistical Rethinking 2023 - 16 - Gaussian Processes
Course: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=_3XGEsDSInM Outline 00:00 Introduction 02:37 Oceanic spatial confounds 09:54 Gaussian processes 24:26 Oceanic Gaussian process 33:51 Pause 34:37 Phylogenetic regression 1:18:39 Summary
From playlist Statistical Rethinking 2023
David Spiegelhalter: Communicating statistics in the time of COVID | The Royal Society
Winner of the 2020 Michael Faraday Prize and Lecture, Professor David Spiegelhalter discusses his work in statistics and how to understand risk with Tim Harford, columnist, broadcaster and author of How To Make The World Add Up. Professor David Spiegelhalter is Chair of the Winton Centre
From playlist Covid-19
The mother of all representer theorems for inverse problems & machine learning - Michael Unser
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Adlai E. Stevenson High School (Team #11729) 2019 Presentation
Adlai E. Stevenson High School from Lincolnshire, Illinois was a finalist in MathWorks Math Modeling Challenge 2019! This year, 4,200 high school students from across the U.S. used mathematical modeling to recommend solutions to the spread of substance abuse in the U.S. Learn more about th
From playlist M3 Challenge