Instructional Video1:49
Curated Video

Using Data to Make an Inference

9th - 12th
In this short video we will answer a standardized math test question where we are as to make an inference based on a sampling of collected data from a survey. We will use what we know about proportionality to predict what a larger...
Instructional Video12:40
Be Smart

Computers Can Predict When You're Going to Die… Here's How

12th - Higher Ed
Predictive analytics uses math and historical data to make predictions about the future. It’s used in commerce, sports, politics, social media and tons of other places. And as it turns out, people have been using math to predict people’s...
Instructional Video6:46
Curated Video

Making Predictions with Lines of Fit

9th - 12th
In this video, the teacher explains how to find lines of fit and use them to make predictions based on data. The lesson includes examples and tips for drawing the best fit line and finding the slope and Y-intercept of the line. Students...
Instructional Video3:59
Curated Video

Interpreting Market Data: How to Use Market Insights to Make Business Decisions

12th - Higher Ed
This is a video that explains the importance of interpreting market data for businesses. The speaker makes a clear distinction between marketing data and market data, the latter of which refers to the internal collection of data that...
Instructional Video2:53
KnowMo

Understanding Scatter Graphs: Identifying Correlations and Making Predictions

12th - Higher Ed
The video discusses scatter graphs and their usefulness in determining the relationship between two sets of data. The speaker explains the concepts of positive, negative, and no correlation, and how to identify them on a scatter graph....
Instructional Video4:42
Curated Video

How to Make an Inference from Data

9th - 12th
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...
Instructional Video17:42
TED Talks

TED: Machine intelligence makes human morals more important | Zeynep Tufekci

12th - Higher Ed
Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep...
Instructional Video5:55
Curated Video

Making Predictions Using the Equation for a Line of Best Fit

K - 5th
Learn how to make predictions using the equation for a line of best fit. Review examples of scatter plots to demonstrate how to find the slope and Y intercept, and then use these values to make predictions. This video also highlights the...
Instructional Video20:12
The Wall Street Journal

Johns Hopkins University Expert on Using Data to Tackle Diseases

Higher Ed
Beth Blauer, executive director and co-founder of the Centers for Civic Impact, Johns Hopkins University, on the crucial role of data in predicting - and preventing - future pandemics.
Instructional Video2:49
Curated Video

No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building and Using the Model for Prediction - Project 2 - Spam SMS Detection

Higher Ed
In this video, you will learn how to build and use the model for prediction.
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This clip is from the chapter "Project 2 - Spam SMS Detection" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this...
Instructional Video7:59
Curated Video

Ensemble Machine Learning Techniques 3.3: Making Predictions on Movie Ratings Using SVM

Higher Ed
In this video, we will use Python to implement the Bagging technique using SVM.

• We will use Jupyter Notebook to execute our
code
• Use Movie Rating to perform clas
sification
• Implement Bagging in python for...
Instructional Video3:14
Science360

BIG DATA TO INDIVIDUALIZE MANAGEMENT OF CHRONIC DISEASES

12th - Higher Ed
Some chronic conditions, such as the autoimmune disease scleroderma, are especially difficult to treat because patients exhibit highly variable symptoms, complications and treatment responses. The process of finding an effective...
Instructional Video4:58
Curated Video

Calculating Residuals: Measuring the Accuracy of Predictions

K - 5th
In this video, we discuss the concept of a line of best fit and how it can be used to make predictions about data. We also highlight the importance of positive and negative residuals and how they balance each other out in determining the...
Instructional Video5:46
Curated Video

Data Science Model Deployments and Cloud Computing on GCP - Lab - Model Serving Using Endpoint with Python SDK

Higher Ed
In this lab video, you will learn how to serve a machine learning model using the Vertex AI Prediction service. You will use a pre-trained model and create an endpoint to make predictions on new data.
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br/>
This clip is from the...
Instructional Video6:14
Curated Video

Solving Problems Using Linear Regression

K - 5th
In this lesson, students will learn how to use statistics to understand relationships between variables and solve problems using linear regression. They will explore real-world examples, such as the correlation between team batting...
Instructional Video5:29
Curated Video

Analyzing Patterns and Relationships: Making Charts

K - 5th
This video explains how to identify and describe patterns using charts. It shows examples of numerical patterns and how to determine the relationship between them. The video also demonstrates how to make predictions based on the patterns...
Instructional Video5:15
KnowMo

Lines of Best Fit and Predictions in Scatter Graphs

12th - Higher Ed
The video is a tutorial that explains how to draw lines of best fit on scatter graphs to identify correlation between two variables and make predictions based on the trend of the data. The video demonstrates examples of scatter graphs...
Instructional Video4:41
Curated Video

Interpreting Scatter Plots and Predicting Unobserved Data

K - 5th
In this video, the teacher explains how to use observed data to predict unobserved data using scatter plots and the line of best fit. They emphasize the importance of not letting outliers influence the line and demonstrate how to draw...
Instructional Video10:39
Crash Course

When Predictions Succeed - Crash Course Statistics

12th - Higher Ed
In our series finale, we're going to take a look at some of the times we've used statistics to gaze into our crystal ball, and actually got it right! We'll talk about how stores know what we want to buy (which can sometimes be a good...
Instructional Video1:29:22
World Science Festival

Go Figure: Predicting the World with Math

6th - 11th
Every Google search, OKCupid date, and Netflix recommendation, and even the items and prices you see at the grocery store is uses massive amounts of data. Algorithms of increasing complexity make sense of this ever-expanding mountain of...
Instructional Video4:47
Curated Video

Blue Mountain: Using Supercomputers to Predict Wildfire Behavior

Pre-K - Higher Ed
This video showcases the power of the Blue Mountain supercomputer at Los Alamos National Laboratory. It highlights how the computer can simulate and predict the behavior of wildfires, helping to save lives and minimize damage to forests....
Instructional Video14:33
Crash Course

Let’s Make A Movie Recommendation System (LAB)

12th - Higher Ed
We need to save Jabril and John Green Bot’s movie nights. Jabril generally likes action movies and John Green Bot likes romantic movies, but they need to find something that they can both watch and enjoy together. Today, we’re going to...
Instructional Video4:51
Curated Video

Making Predictions and Generalizations with Data

K - 5th
This video teaches how to identify and interpret intercepts using the line of best fit. It explains that in exact relationships, the intercept has a clear meaning, while in inexact relationships, the intercept represents the expected...
Instructional Video5:11
Curated Video

Predictive Analytics with TensorFlow 10.3: Improved Factorization Machines for Predictive Analytics

Higher Ed
In this video, we will see Neural factorization machines is used to for making predictions under sparse settings by seamlessly combining the linearity of FM and the non-linearity of the neural network. • Understand neural factorization...