Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
An overview and introduction to understanding sampling distributions of proportions [sample proportions] and how to calculate them
From playlist Unit 7 Probability C: Sampling Distributions & Simulation
Mean v Median and the implications
Differences between the mean and median suggest the presence of outliers and/or the possible shape of a distribution
From playlist Unit 1: Descriptive Statistics
Introduction to standard deviation, IQR [Inter-Quartile Range], and range
From playlist Unit 1: Descriptive Statistics
t Test Write Up of a Hypothesis Test of an Unknown Population Mean
How to perform and write up a hypothesis test [t test] of an unknown population mean [In accordance with AP Statistics requirements]
From playlist Unit 9: t Inference and 2-Sample Inference
Statistics Lesson #3: Randomized Experiments & Observational Studies
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). I define a randomized experiment, show a couple of examples, and define some important vocabulary related to experiments. Then I define an observational study, give an example, and discu
From playlist Statistics
More Standard Deviation and Variance of Joint Discrete Random Variables
Further example and understanding of Joint Discrete random variables and their standard deviation and variance
From playlist Unit 6 Probability B: Random Variables & Binomial Probability & Counting Techniques
Fundamental Unit of Life -Introduction to the Cell - Short Revision || CBSE Science || IL Class 9&10
The cell is the fundamental unit of life. All living organisms, from the simplest bacteria to complex multicellular organisms like humans, are made up of cells. Cells are the basic building blocks of life, and they perform all the functions necessary for an organism to survive. Cells are i
From playlist Short Revision || Science || Infinity Learn Class 9&10
Graham Taylor: "Learning Representations of Sequences"
Graduate Summer School 2012: Deep Learning, Feature Learning "Learning Representations of Sequences" Graham Taylor, University of Guelph Institute for Pure and Applied Mathematics, UCLA July 13, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer
From playlist GSS2012: Deep Learning, Feature Learning
The 'linear' Basel Problem || SoME2
In this video, we explore how we can create an artificial lighthouse and use its properties to our advantage in solving a linear form of the famous Basel problem. Its validity hinges on the 'Inverse Sum theorem' whose proof can be found in this blogpost - https://am-just-a-nobody.blogspot
From playlist Summer of Math Exposition 2 videos
Average Treatment Effects: Introduction
Professor Stefan Wager presents an introduction to average treatment effects and randomized trials.
From playlist Machine Learning & Causal Inference: A Short Course
DDPS | Deep Learning Meets Data Assimilation by Ashesh Chattopadhyay (Rice University)
Description: Our weather or climate system is a high-dimensional, multi-scale, chaotic, dynamical system which presents a challenging problem for fully data-driven models to perform forecasting. Any forecasting pipeline requires the data-driven model to integrate information from the obser
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Lecture 9/16 : Ways to make neural networks generalize better
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 9A Overview of ways to improve generalization 9B Limiting the size of the weights 9C Using noise as a regularizer 9D Introduction to the Bayesian Approach 9E The Bayesian interpretation of weight decay 9F MacKay's qui
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Improving Scouting - Python AI in StarCraft II tutorial p.14
Welcome to part 14 of the AI in StarCraft II series with Python. In this tutorial, we're going to be working on our scouting methods and logic. Text tutorials and sample code: https://pythonprogramming.net/better-scouting-starcraft-ii-ai-python-sc2-tutorial/ Chat with us on Discord: http
From playlist Python AI in StarCraft II
Scouting and more Visual inputs - Python AI in StarCraft II tutorial p.8
Adding a scout for more visual input data, along with tracking more data that we can show for our neural network to use. Text tutorials and sample code: https://pythonprogramming.net/scouting-visual-input-starcraft-ii-ai-python-sc2-tutorial/ Chat with us on Discord: https://goo.gl/Q9euv3
From playlist Python AI in StarCraft II
From playlist Machine Learning Course
Overview of Experimental Design
From playlist Unit 4: Sampling and Experimental Design