What are the Types of Numbers? Real vs. Imaginary, Rational vs. Irrational
We've mentioned in passing some different ways to classify numbers, like rational, irrational, real, imaginary, integers, fractions, and more. If this is confusing, then take a look at this handy-dandy guide to the taxonomy of numbers! It turns out we can use a hierarchical scheme just lik
From playlist Algebra 1 & 2
(ML 10.1) Bayesian Linear Regression
Introduction to the Bayesian approach to linear regression. We address the question of why a Bayesian approach is preferable to using the MLE or MAP estimate.
From playlist Machine Learning
A02 Independence of the solution set
The independence of a linear system. How to make sure that a set of solutions are not constant multiples of each other.
From playlist A Second Course in Differential Equations
My Journey to Becoming a Kaggle Grandmaster | by Darius Barušauskas | Kaggle Days Paris
Darius Barušauskas "My Journey to Becoming a Kaggle Grandmaster" Kaggle Days Paris held in January 2019 gathered over 200 participants to meet, learn and code with Kaggle Grandmasters, and compete in our traditional offline competition. This edition is presented by LogicAI in partnershi
From playlist Kaggle Days Paris Edition | by LogicAI + Kaggle
Jean-Pierre Florens: Inverse problems in econometrics - Lecture 1/4
Recording during the thematic month on statistics - Week 2 : "Mathematical statistics and inverse problems" the 9 February, 2016 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide
From playlist Probability and Statistics
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
Simulating the economy as we simulate the climate... - Pollitt - Workshop 3 - CEB T3 2019
Pollitt (Cambridge Econometrics) / 04.12.2019 Simulating the economy as we simulate the climate: why most economists get it wrong ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/I
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
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 identify subgroups with specific features. Recent work shows that these methods are also useful in micro econometrics to analyze the beh
From playlist Probability and Statistics
Machine Learning and Economics: An Introduction
Professor Susan Athey presents a high-level overview contrasting traditional econometrics with off-the-shelf machine learning.
From playlist Machine Learning & Causal Inference: A Short Course
B03 An improvement of the Euler method
Introducing predictor-corrector methods, improving on Euler's method of numerical analysis.
From playlist A Second Course in Differential Equations
The limits of explainability - Alison Powell
- Links to talks - Reuben Binns: https://youtu.be/VoPSvQYeYpI Alison Reuben: https://youtu.be/btUxLhTPvUQ David Leslie: https://youtu.be/F4G0_01kAN4 Panel discussion: https://youtu.be/WM8BmRkIXX0 In the lecture series 'Driving data futures', the public policy programme of The Alan Turing
From playlist Driving Data Futures: AI explainability with a human face
Applied Machine Learning: Introduction
Professor Jann Spiess presents an introduction to applied machine learning.
From playlist Machine Learning & Causal Inference: A Short Course
Jean-Pierre Florens: Inverse problems in econometrics - Lecture 4/4
Recording during the thematic month on statistics - Week 2 : "Mathematical statistics and inverse problems" the 10 February, 2016 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide
From playlist Probability and Statistics
Data Science - Part XVI - Fourier Analysis
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of the Fourier Analysis and the Fourier Transform as applied in Machine Learnin
From playlist Data Science
Set Theory: Types of Sets, Unions and Intersections
We've already learned a little bit about set theory when we first started using interval notation. Let's expand on this a little bit to include sets that merely list some elements, so that we can understand how to find the union and intersection of two sets. This is good notation to know r
From playlist Algebra 1 & 2
Freedom and Fear in Hong Kong Media (香港媒體自由何去何從?)
For more information and to view PDFs of panelist remarks, please visit the Council on East Asian Studies at Yale University website: http://ceas.yale.edu/events/freedom-and-fear-hong-kong-media-xiang-gang-mei-ti-zi-you-he-qu-he-cong. The ouster and subsequent stabbing attack on Ming Pao
From playlist Council on East Asian Studies (CEAS)
There is a wholly alternative method for considering the time evolution of a system, not invoking causality or determinism, i.e. cause and effect or force and acceleration. Without using the laws of Newton we can use the principle of extremum (minimum) action to derive equations of motion
From playlist Physics ONE