After mapping humans' intricate social networks, Nicholas Christakis and colleague James Fowler began investigating how this information could better our lives. Now, he reveals his hot-off-the-press findings: These networks can be used...

Paul Andersen introduces science for the science classroom. He starts with a brief description of Big Data and why it is important that we prepare future scientists to deal intelligently with large amounts of data. He explains the...

Today we're going to walk through a couple of statistical approaches to answer the question: "is coffee from the local cafe, Caf-fiend, better than that other cafe, The Blend Den?" We'll build a two sample t-test which will tell us how...

Today we’re going to talk about good and bad surveys. From user feedback surveys, telephone polls, and those questionnaires at your doctors office, surveys are everywhere, but with their ease to create and distribute, they're also...

Today we're going to begin our three-part unit on p-values. In this episode we'll talk about Null Hypothesis Significance Testing (or NHST) which is a framework for comparing two sets of information. In NHST we assume that there is no...

Last week we introduced p-values as a way to set a predetermined cutoff when testing if something seems unusual enough to reject our null hypothesis - that they are the same. But today we’re going to discuss some problems with the logic...

In this video, you will learn to use machine learning to develop item-based collaborative filtering.

This video demonstrates item-based collaborative filtering.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of...

In this video, you will learn about sampling, a process of generating a subset from an entire population to provide various qualitive or quantitative statistical information by examining a few selected units at random. We will understand...

In this math video we will learn about random sampling that is representative of a population for a survey. Students will identify if a sample of a population is a valid representation. We will learn key vocabulary - population, random...

In this video, the teacher explains how to choose the best random survey to determine the average number of items bought by shoppers in a grocery store's express checkout lane between 5:00 PM and 7:00 PM. The teacher walks through four...

In this video, the teacher guides the viewer through solving a standardized math test question that requires making an inference from data. The question involves estimating the number of people in a city who own a car based on a random...

Simple linear regression models using R programming doesn't need to be scary. This video will take you through the basics of how to interpret linear regression results and the code needed to do the regression models. If you are learning...

This video explains the importance of generating a representative sample for predicting election outcomes or making valid inferences about a population. It introduces three types of unbiased sampling methods - simple random sample,...

"CREDITS Animation & Design: Jean-Pierre Louw (www.Behance.com/ Jean-Pierre_Louw) Narration: Lucy Billings Script: Lucy Billings In this video we’re going to look at sampling and bias in statistics. Statistics is it’s own branch of...

Matt Galvin, global VP of ethics and compliance at AB InBev explains how these new resources and tools are being put to use and what results they're yielding.<br/>

The listener is new to algorithms and does not know about the sampling algorithms.

• Introduce the listener to the std::sample algo
rithm
• Show how it works and explain the different versions
available
• Reinforce...

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,...

In this short video we will answer a standardized math test question where we are asked to identify the best representative sampling of a population. We will review each answer choice looking for bias and selecting the most random...

This video explains random forest steps pruning and optimization.
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This clip is from the chapter "Ensemble Methods – Random Forest" of the series "Practical Data Science Using Python".This section explains classification using...

The second part of the tree-based methods explains random forests.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...

This is the first of the three-part video on the final structure implementation.
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This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...

Statistics doesn't need to be difficult. Using the t-test, ANOVA or Chi Squared test as part of your statistical analysis is straight forward. You do need to understanding the underlying principles of hypothesis testing and p-values of...

This video demonstrates how to use the Random % Sample tool in Alteryx.<br/<br/>>

This clip is from the chapter "Preparation Tab" of the series "Alteryx for Beginners".This section focuses on the Preparation tab.