Instructional Video2:56
Curated Video

Ensemble Machine Learning Techniques 2.1: Problems that Ensemble Learning Solves

Higher Ed
This video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning
Instructional Video2:37
The Business Professor

Clean Water Act - Exception or Variances

Higher Ed
Clean Water Act - Exception or Variances
Instructional Video5:08
Catalyst University

NO BS: Paired t-Test Excel Tutorial

Higher Ed
NO BS: Paired t-Test Excel Tutorial
Instructional Video3:32
Packt

Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : Comparing Defence Approaches and Choosing the Best Defence

Higher Ed
From the section: Choosing the Right Defense. In this section, you will deploy the right defense methods to protect AI systems from attacks by comparing their efficiency. The aim of this video is to provide guidance on choosing the best...
Instructional Video5:48
Catalyst University

NO BS: Independent t-Test Excel Tutorial

Higher Ed
NO BS: Independent t-Test Excel Tutorial
Instructional Video11:15
de Dicto

Machine Learning Systems Design with Sara Hooker: Robustness

Higher Ed
Does Sara Hooker think effective tools should look primarily at the data or the model itself? Machine Learning Systems Design with Sara Hooker, Part 6
Instructional Video7:26
Catalyst University

Excel/Numbers: Program Average and Standard Deviation

Higher Ed
Excel/Numbers: Program Average and Standard Deviation
Instructional Video1:37
Next Animation Studio

Omicron’s ability to evade antibodies does not impair ability to bind to cells

12th - Higher Ed
Precise structural changes to the omicron variant’s spike protein have been identified that mean it is capable of breakthrough infections.
Instructional Video4:23
Curated Video

Statistics for Data Science and Business Analysis - Understanding the central limit theorem

Higher Ed
This video is about the central limit theorem - one of the most important statistical concepts. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This...
Instructional Video6:42
Packt

Create visual representations of data that models real-world phenomena or processes : Line Charts

Higher Ed
From the section: Data Visualization. In this section you will learn about data visualization, matplotlib library, bar charts, line charts and scatter plots. There’s also an activity for data visualization. Data Visualization: Line Charts
Instructional Video9:38
Curated Video

How to Calculate Standard Deviation

Higher Ed
This video explains how to calculate standard deviation, defines variance and standard deviation, and provides two formulas for finding standard deviation. The video also includes an example calculation of standard deviation using both...
Instructional Video5:10
Curated Video

Statistics for Data Science and Business Analysis - A3. Normality and Homoscedasticity

Higher Ed
In this video, the third assumption of OLS, normality and homoscedasticity, are explained. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This...
Instructional Video5:10
Catalyst University

Excel/Numbers: Absolute Cells vs Reference Cells

Higher Ed
Excel/Numbers: Absolute Cells vs Reference Cells
Instructional Video5:45
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Linear Regression

Higher Ed
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Instructional Video4:44
Curated Video

Statistics for Data Science and Business Analysis - Standard Deviation and Coefficient of Variation

Higher Ed
This video explains standard deviation and coefficient of variation. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the...
Instructional Video15:50
msvgo

Standard Deviation and Variance

K - 12th
It explains how standard deviation and variance can overcome the limitations of mean deviation and demonstrates their computation for ungrouped and grouped data.
Instructional Video5:55
Catalyst University

Dixon-Q Test [Example #2]

Higher Ed
In this video, we do a sample problem for the Dixon-Q test.
Instructional Video3:26
The Business Professor

Variances in Cost Volume Profit Analysis

Higher Ed
Variance in any of major variables employed in the cost volume analysis will cause a variation in the expected output or profits from operations. This video identifies the major variables that may vary in a CVPA analysis.
Instructional Video26:06
The Wall Street Journal

Predicting Illness

Higher Ed
At the 2020 WSJ Health Forum, Science Editor Daniela Hernandez spoke with USC Professor of Economics Dr. Daniel Benjamin and Dr. Stephen Hsu, SVP of research at Michigan State, on the accuracy and ethicacy of "polygenic risk scores."
Instructional Video4:59
The Business Professor

Understanding Material Variance and its Importance in Operations

Higher Ed
This video provides an explanation of material variance and its different types. Material variance refers to the variation in material use during an operational process. The video discusses four types of material variance: material cost...
Instructional Video8:33
Brian McLogan

Master Solving Trigonometric word problems with bearings

12th - Higher Ed
Master Solving Trigonometric word problems with bearings
Instructional Video4:30
Curated Video

Statistics for Data Science and Business Analysis - Test for the Mean; Independent Samples (Part 2)

Higher Ed
This is the second of the two-part video, where the means for two dependent samples are tested. This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains...
Instructional Video4:25
Curated Video

Statistics for Data Science and Business Analysis - Test for the Mean; Independent Samples (Part 1)

Higher Ed
This is the first of the two-part video, where the means for two dependent samples are tested. This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains...
Instructional Video9:25
Curated Video

Deep Learning CNN Convolutional Neural Networks with Python - Weight Initialization

Higher Ed
This video explains about weight initialization. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...