ShortCutsTv
Sampling
This film uses classic psychological studies (Loftus, Maguire, Baron-Cohen, Zimbardo) to illustrate a range of sampling techniques, issues and problems.
Curated Video
Sampling Methods: Taking Samples Involving Groups
In this video, the teacher explains how sampling can be used to determine the average amount a family pays in sales tax for laundry detergent across the United States. The teacher introduces two methods of sampling: stratified sampling,...
The Business Professor
Auditing - What is the Role of Sampling
This video explains what is the Role of Sampling in Audit practice.
National Parks Service
Acadia National Park - Floating Classroom: Graphing
These videos compliment the variety of water quality programs that occur in Acadia National Park. For teachers looking for good background information on water quality or those looking to attend the Floating Classroom field trip, this...
The Art Assignment
The Case for Copying | The Art Assignment | PBS Digital Studios
Sampling, appropriating, borrowing, stealing. Whatever you want to call it, artists have been copying since time immemorial. We look into the history of the practice, and share our theories of why it is done, and what it can offer us.
Next Animation Studio
Japan launches Hayabusa 2 spacecraft to collect samples from asteroid
Hayabusa 2, a spacecraft designed to bring back samples from an asteroid to earth, was launched today from the Yoshinobu Launch Complex at JAXA'S Tanegashima Space Centre. Hayabusa means "Falcon" in English, according to RT News.
National Parks Service
Acadia National Park - Floating Classroom: Accuracy
These videos compliment the variety of water quality programs that occur in Acadia National Park. For teachers looking for good background information on water quality or those looking to attend the Floating Classroom field trip, this...
Curated Video
Practical Data Science using Python - Central Limit Theorem
This video explains the Central Limit Theorem. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
Curated Video
Fundamentals of Machine Learning - Welcome
This video explains the contents of the course. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as well as...
Curated Video
Fundamentals of Machine Learning - Unsupervised Learning
This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
Curated Video
Fundamentals of Machine Learning - Tree-Based Methods - Part 2
The second part of the tree-based methods explains random forests. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
Curated Video
Fundamentals of Machine Learning - Support Vector Machine (SVM) - Lectures
This video explains the support vector machine called SVM and its introduction. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...
Curated Video
Fundamentals of Machine Learning - Support Vector Machine (SVM) - Labs
This video explains a lab session on Support Vector Machines or SVM. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear regression, ridge...
Curated Video
Fundamentals of Machine Learning - Linear Regression - Labs
This video explains linear regression using an example of predicting fuel efficiency. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear...
Curated Video
Fundamentals of Machine Learning - Linear Regression - Lectures
This video explains the foundation of the linear regression model, which is the very first approach to supervised learning. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains...
Curated Video
Fundamentals of Machine Learning - Classification
This video explains one of the most basic forms of classification, which is the logistic regression model. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
Curated Video
Fundamentals of Machine Learning - Basics in Statistical Learning
This video explains some basic notations in statistical learning, such as Xij. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...
Curated Video
Fundamentals of Machine Learning - Tree-Based Methods - Part 1
This part of the video explains decision tree. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as well as support...
Curated Video
Fundamentals of Machine Learning - Ridge
This video explains a lab session on Ridge regression, which holds a unique position in statistical machine learning. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various...
Curated Video
Fundamentals of Machine Learning - PCA
This video explains a lab session on Eigenfaces using PCA. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear regression, ridge regression,...
Curated Video
Fundamentals of Machine Learning - Logistic Regression
This video explains logistic regression with a little bit of mathematics behind it. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear...
Curated Video
Fundamentals of Machine Learning - Going Beyond Linearity
This video explains going beyond linearity; specifically, we will look at a couple of interesting examples to improve the linear regression model to see if we can create models that are non-linear. This clip is from the chapter...
Curated Video
Fundamentals of Machine Learning - Decision Tree
This video explains a lab session on a decision tree, getting dependencies, and how to create mock data. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
Curated Video
Fundamentals of Machine Learning - Classification Metrics
This video explains classification metrics and will cover terminologies such as accuracy, specificity, sensitivity, and so on. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section...