Prob & Stats - Random Variable & Prob Distribution (1 of 53) Random Variable
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and gives an example of what is a random variable. Next video in series: http://youtu.be/aEB07VIIfKs
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
Statistics: Ch 5 Discrete Random Variable (1 of 27) What is a Random Variable?
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn a random variable is a variable which represents the outcome of a trial, an experiment, or an event. It is a specific n
From playlist STATISTICS CH 5 DISCRETE RANDOM VARIABLE
Conceptual Questions about Random Variables and Probability Distributions
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Conceptual Questions about Random Variables and Probability Distributions
From playlist Statistics
Statistics: Ch 5 Discrete Random Variable (2 of 27) What is a Discrete Random Variable?
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn a discrete random variable can be a count of something, an integer, as how many times a coin comes up “heads” or “tails
From playlist STATISTICS CH 5 DISCRETE RANDOM VARIABLE
Random Variable Examples with Discrete and Continuous
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Random Variable Examples with Discrete and Continuous
From playlist Statistics
(PP 3.1) Random Variables - Definition and CDF
(0:00) Intuitive examples. (1:25) Definition of a random variable. (6:10) CDF of a random variable. (8:28) Distribution of a random variable. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
Discrete Math - 7.2.2 Random Variables and the Binomial Distribution
Introduction to random variables and finding probability of an event or cumulative probability using the binomial distribution. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)
Introduction to Random Variables
Introduction to random variables and probability distribution functions. More free lessons at: http://www.khanacademy.org/video?v=IYdiKeQ9xEI
From playlist Statistics
Prob & Stats - Random Variable & Prob Distribution (2 of 53) Random Variable - Terminology Review
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and reviews terminologies associated with random variables. Next video in series: http://youtu.be/ebP7x2zviBI
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
Lec 9 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
Lecture 09: Relation of BSTs to Quicksort | Analysis of Random BST View the complete course at: http://ocw.mit.edu/6-046JF05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),
Marion Sciauveau - Cost functionals for large random trees
Les arbres apparaissent naturellement dans de nombreux domaines tels que l'informatique pour le stockage de données ou encore la biologie pour classer des espèces dans des arbres phylogénétiques. Dans cet exposé, nous nous intéresserons aux limites de fonctionnelles additives de grands arb
From playlist Les probabilités de demain 2017
Matilde Marcolli : The geometry of Syntax
Recording during the thematic meeting : "Geometrical and Topological Structures of Information" the August 29, 2017 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent
From playlist Geometry
Finding the Tallest Tree: comparing tree-based models
Tree-based models such as decision trees, random forests, and boosted trees provide powerful predictions and are fast to compute. There are many different ways to fit these models in R, including the rpart, randomForest, and xgboost packages. During this talk, we'll examine numerous ways t
From playlist Introduction to Machine Learning
Lecture 11/16 : Hopfield nets and Boltzmann machines
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 11A Hopfield Nets 11B Dealing with spurious minima in Hopfield Nets 11C Hopfield Nets with hidden units 11D Using stochastic units to improve search 11E How a Boltzmann Machine models data
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Continuous Genetic Algorithm - Part 1
This video is about Continuous Genetic Algorithm - Part 1
From playlist Optimization
Numbers In Python - 7 | Python Series Tutorial | Python Basics | Python Tutorial | Simplilearn
This video on Numbers in Python will help you learn about the number data types in Python. You will look at integer, floating and complex numbers in this video. You will explore the type conversion methods to convert one data type to another in this Python series tutorial. You will also lo
From playlist Python For Beginners 🔥[2022 Updated]
Lesson 7 - Deep Learning for Coders (2020)
NB: We recommend watching these videos through https://course.fast.ai rather than directly on YouTube, to get access to the searchable transcript, interactive notebooks, setup guides, questionnaires, and so forth. Today's class starts out by looking at a useful form of regularization: wei
From playlist Practical Deep Learning for Coders (2020)
R - Binary Logistic Multilevel Models
Lecturer: Dr. Erin M. Buchanan Harrisburg University of Science and Technology Fall 2019 This video covers binary logistic regression + multilevel models in R using glmer and the lme4 package. I cover an example of a project that our research lab has under review. We talk about assumption
From playlist Advanced Statistics Videos
Function Entropy in Deep-Learning Networks – Mean Field Behaviour and Large... by David Saad
DISCUSSION MEETING : STATISTICAL PHYSICS OF MACHINE LEARNING ORGANIZERS : Chandan Dasgupta, Abhishek Dhar and Satya Majumdar DATE : 06 January 2020 to 10 January 2020 VENUE : Madhava Lecture Hall, ICTS Bangalore Machine learning techniques, especially “deep learning” using multilayer n
From playlist Statistical Physics of Machine Learning 2020
CONTINUOUS Random Variables: The Joy of X Revisited (10-1)
A Random variable is a numerical description (X) of the outcome of an experiment. Continuous random variables may assume any numerical value in an interval or collection of intervals (scales or quantitative data). They may assume either a finite number of values or an infinite sequence of
From playlist Continuous Probability Distributions in Statistics (WK 10 - QBA 237)