Instructional Video11:05
Crash Course

Measures of Spread - Crash Course Statistics

12th - Higher Ed
Today, we're looking at measures of spread, or dispersion, which we use to understand how well medians and means represent the data, and how reliable our conclusions are. They can help understand test scores, income inequality, spot...
Instructional Video7:49
Bozeman Science

Standard Deviation

12th - Higher Ed
In this video Paul Andersen explains the importance of standard deviation. He starts with a discussion of normal distribution and how the standard deviation measures the average distance from the mean, or the "spread" of data. He then...
Instructional Video7:05
Bozeman Science

Standard Error

12th - Higher Ed
Paul Andersen shows you how to calculate the standard error of a data set. He starts by explaining the purpose of standard error in representing the precision of the data. The standard error is based on the standard deviation and the...
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 Video8:13
Science Buddies

Titanic Survival Prediction with Python & KNN: A Step-by-Step Coding Tutorial

K - 5th
Explore how machine learning can predict who survived the Titanic's sinking in this beginner AI science project
Instructional Video5:41
Science Buddies

Breast Cancer Diagnosis with Python & KNN: A Step-by-Step Coding Tutorial

K - 5th
Explore how machine learning can diagnose malignant and benign breast tumors in this AI science project
Instructional Video1:21
Science Buddies

Simple Explanation of the K-Nearest Neighbors (KNN) Algorithm

K - 5th
Explore how machine learning can diagnose malignant and benign breast tumors in this AI science project
Instructional Video0:44
Curated Video

Data

6th - 12th
A collection of pieces of information, organised and categorised for some purpose. A Twig Science Glossary Film. Key scientific terms defined in just 60 seconds using stunning images and concise textual definitions. Twig Science Glossary...
Instructional Video4:35
Curated Video

Arithmetic Mean, Median and Mode

K - 8th
By the end of this learning object, the student will be able to: List Standard Deviants Teaching Systems4462
Instructional Video2:25
Curated Video

Collecting and Organizing Data

K - 8th
By the end of this learning object, the student will be able to: Define Standard Deviants Teaching Systems.4461
Instructional Video4:36
Curated Video

Mean Absolute Deviation MAD | 6.SP.3

9th - Higher Ed
Welcome to Math Defined! In this video, we're diving into the world of Mean Absolute Deviation (MAD) and exploring its importance in understanding data variability. Join us as we break down this fundamental statistical concept in a way...
Instructional Video7:21
Science Buddies

Create an Urban Heat Island Profile Using ArcGIS Online

K - 5th
In this science project, you will explore Urban Heat Islands with ArcGIS Online and analyze surface type & air temperature relationships in your city.
Instructional Video13:08
Curated Video

Machine Learning: Random Forest with Python from Scratch - Labels and Features

Higher Ed
In this lesson, we will look at a target or label as output data and feature, a measurable property or characteristic of an element. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random...
Instructional Video4:44
Curated Video

Machine Learning: Random Forest with Python from Scratch - Outliers

Higher Ed
Let's look at outliers, the data points of a dataset that differ from others and are usually excluded by visualizing a dataset. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random...
Instructional Video4:16
Curated Video

Machine Learning: Random Forest with Python from Scratch - Dataset

Higher Ed
In this lesson, we will dive into the hardcore process of machine learning and the fundamental elements used in machine learning, like datasets, training and testing data, outliers, models, and so on. This clip is from the chapter...
Instructional Video5:34
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - Text Preprocessing

Higher Ed
In this video, we will work on text preprocessing. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this section, we will talk about Natural...
Instructional Video13:22
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - Code Preparation (NLP)

Higher Ed
In this video, you will learn how to write the code to turn a sequence of words into an acceptable format such that they can be converted into a matrix of numbers. This clip is from the chapter "Natural Language Processing (NLP)" of the...
Instructional Video13:14
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - Embeddings

Higher Ed
In this video, we will understand what embedding is. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this section, we will talk about Natural...
Instructional Video5:49
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 2)

Higher Ed
In this video, we will work on a more conventional prediction called stock return. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural Networks...
Instructional Video12:06
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 1)

Higher Ed
In this video, we will understand why one-step prediction on stock price is misleading and unconventional. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning -...
Instructional Video4:06
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Image Classification (Code)

Higher Ed
In this video, you will learn how to preform RNN for image classification on the MNIST dataset. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent...
Instructional Video19:30
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - Demo of the Long-Distance Problem

Higher Ed
In this video, we will understand how LSTMs work for resolving a long-distance problem. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural...
Instructional Video9:21
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - A More Challenging Sequence

Higher Ed
In this video, you will learn how to preform time series prediction with a complex signal. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural...
Instructional Video11:14
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Time Series Prediction

Higher Ed
In this video, we will do the same forecasting exercise that we did with an autoregressive liner model, but with a simple RNN instead. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of...