Instructional Video17:13
TED Talks

TED: Why curiosity is the key to science and medicine | Kevin B. Jones

12th - Higher Ed
Science is a learning process that involves experimentation, failure and revision -- and the science of medicine is no exception. Cancer researcher Kevin B. Jones faces the deep unknowns about surgery and medical care with a simple...
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 Video9:13
Curated Video

Machine Learning: Random Forest with Python from Scratch - Outliers Removal

Higher Ed
In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Instructional Video10:54
Curated Video

Alteryx Advanced - Machine Learning Part 2

Higher Ed
In this video, you will learn to use Alteryx Designer to build and train machine learning models, prepare data for machine learning, how to select appropriate algorithms and techniques, and evaluate model performance. This clip is from...
Instructional Video6:09
Curated Video

How to Interpret a Scatter Plot

9th - 12th
In this math video we will learn how to interpret a scatter plot. We will review how to read a scatter plot and identify data points. We will determine the relationship between x and y axis and specific points. We define an outlier as a...
Instructional Video9:06
Curated Video

Measures of Central Tendency

3rd - Higher Ed
"Statistical Measures" explains mean, median, mode, mean absolute deviation, range, and interquartile range.
Instructional Video4:34
Curated Video

A Limited View

12th - Higher Ed
Stanford University psychologist Carol Dweck describes the difference between a fixed and a growth mindset and describes how her primary school years were shaped by a rigorously fixed-mindset teacher who lined all students up by IQ ranking.
Instructional Video3:21
Curated Video

Identifying Patterns in a Scatter Plot

9th - 12th
In this video, the teacher explains how to identify patterns and associations in a scatter plot using a standardized math test question as an example. The viewer is guided through each answer choice and taught to recognize outliers,...
Instructional Video18:01
Schooling Online

IB Biology Skills: Reliability 3

3rd - Higher Ed
Robin Hood has a flawless track record. That is, until he completely misses the mark one day! Does this spell the end of his successful career? This lesson will wrap up our discussion of reliability by examining the effects of outliers...
Instructional Video18:00
Schooling Online

IB Chemistry: Reliability Part 2

3rd - Higher Ed
We know that Robin Hood is an accurate and reliable archer, but just how good is he? Is his aim god-like, or is he subject to the errors and imperfections of mortals? This lesson will continue investigating the concept of reliability,...
Instructional Video18:26
Schooling Online

Biology Skills: Reliability Part 3

3rd - Higher Ed
Robin Hood has a flawless track record. That is, until he completely misses the mark one day! Does this spell the end of his successful career? This lesson will wrap up our discussion of reliability by examining the effects of outliers...
Instructional Video14:53
APMonitor

Data Cleansing

10th - Higher Ed
Measurements from sensors or from human input can contain bad data that negatively affects machine learning. This tutorial demonstrates how to identify and remove bad data with Numpy and Pandas. Data cleansing is the process of removing...
Instructional Video4:40
Curated Video

Use a real-life example of an AI system to discuss some impacts of cyber attacks : Practical Backdoor Attacks

Higher Ed
From the section: Build a Threat Model and Learn Different Attacks on AI. In this section, you will create a high-level threat model for AI solution to choose the right priorities against various threats. The aim of this video is to...
Instructional Video3:53
Curated Video

Analyzing Deceptive Advertising Using Measures of Center and Variability

K - 5th
This video describes the importance of not relying solely on the mean, as outliers can skew the data, and emphasize the significance of considering the median and MAD (mean absolute deviation) for a more accurate representation of the...
Instructional Video18:27
Schooling Online

Physics Skills: Reliability Part 2

3rd - Higher Ed
We know that Robin Hood is an accurate and reliable archer, but just how good is he? Is his aim god-like, or is he subject to the errors and imperfections of mortals? This lesson will continue investigating the concept of reliability,...
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 Video6:21
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 4

Higher Ed
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing with Real World Natural Images: Working with...
Instructional Video0:33
Brian McLogan

Learn how to find the mode from a set of data

12th - Higher Ed
👉 Learn how to find the mean, the median, and the mode of a set of data. The (arithmetic) mean of a set of data is the average of the set of data and is obtained by adding up the numbers in the set of data and dividing it by the count of...
Instructional Video8:42
Catalyst University

The Dixon Q-test | When to Discard Outliers in Your Data

Higher Ed
In this video, I show you how to perform a Dixon Q-test on a data set, and how to interpret the Q-values for discarding a data point.
Instructional Video9:30
Catalyst University

Quantifying Precision | Calculating a Parts-per-Thousand [ppt]

Higher Ed
In this video, I show you how to calculate the quantity, Parts-per-Thousand [ppt], for a data set to determine whether or not your data is precise.
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 Video3:39
Curated Video

GCSE Secondary Maths Age 13-17 - Probability & Statistics: Scatter Graphs - Explained

9th - 12th
SchoolOnline's Secondary Maths videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key topic and sub topic covered in GCSE Maths in clear and easy to follow steps. This video...
Instructional Video3:10
Curated Video

Mastering Tableau 2018.1, Second Edition 8.4: Clustering Data in Tableau

Higher Ed
In this video, we’ll see how to cluster data in Tableau. • Understand clusters • Implement clustering in Tableau
Instructional Video14:01
Curated Video

The Meaning Behind Scatter Plot

9th - 12th
In this video lesson, students will gain an intuitive understanding of how to construct and interpret scatter plots. This lesson explains that a scatter plot shows the relationship between two data sets. Students will find that there may...