Instructional Video13:00
Fun Robotics

Iris Flower Classification Model

Higher Ed
Training a classification model to predict the class of an Iris flower.
Instructional Video7:25
The Business Professor

Do You Need a Business Degree - Learning

Higher Ed
This Video Explains: Do You Need a Business Degree - Learning
Instructional Video7:41
The Business Professor

Employers Prefer Business Majors

Higher Ed
This Video Explains Why Employers Prefer Business Majors
Instructional Video10:20
Two Minute Music Theory

Music and Mythology, Education, and Theory (Greece, Part 2) - Music In History

12th - Higher Ed
It's hard to separate the study of Greek music into different categories since they were all so interconnected...but we're going to try! Today's Episode features research and commentary from Dr. Emily Williams Burch, who joins me to talk...
Instructional Video13:22
Seven Dimensions

Developing Sales Capabilities

Higher Ed
In this video, Sadhana, an experienced sales team leader, shares key strategies for developing the capabilities of salespeople. She emphasizes the importance of hiring the right individuals through behavioral interviews and testing....
Instructional Video9:32
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Logistic Regression In Action

Higher Ed
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Instructional Video10:04
Institute for New Economic Thinking

Barry Eichengreen - Why Economics Needs History

Higher Ed
What challenges will China have to surmount in order to make its currency a true international currency? To answer this question and others, Barry Eichengreen studies history. In the old days, he says, historians and theorists worked...
Instructional Video8:07
Curated Video

Predictive Analytics with TensorFlow 6.4: TF-IDF Model for Predictive analytics

Higher Ed
TF-IDF measures how important a word is in a document or in a collection of documents. It is used extensively in informational retrieval and reflects the weight of the word in the document, frequency and the inverse document frequency. •...
Instructional Video15:20
APMonitor

Data Science 🐍 Classification

10th - Higher Ed
Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete levels such as a letter from text recognition, or a word from speech recognition. There are two main methods for training...
Instructional Video19:43
Curated Video

Evaluate a machine learning model : Evaluate Model Performance

Higher Ed
From the section: Regression. In this section, you are going to learn about Regression. Regression: Evaluate Model Performance
Instructional Video10:09
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Evaluating Machine Learning Systems with Cross-Validation

Higher Ed
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Instructional Video5:09
Global Ethics Solutions

The Stuff of Work: Ethics and Assets

Higher Ed
Applying business ethics principles is the responsibility of every employee, regardless of their role in the company. When employees are given company-owned assets to use, they have a responsibility to make sure they handle them with...
Instructional Video8:59
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Decision Trees and Random Forests

Higher Ed
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Instructional Video5:40
Science360

Science of the Winter Olympics - Motion

12th - Higher Ed
The Olympics are a unique chance to marvel at the physical abilities of these world-class athletes. But what makes them unique? After all, they're made of the same flesh and blood as the rest of us--how did they become Olympians? Dan...
Instructional Video17:51
Fun Robotics

Diabetes Classification Model

Higher Ed
Training and testing a classification model to predict the patient's diabetic status.
Instructional Video16:23
APMonitor

SVM Texture Classification

10th - Higher Ed
Use the texture classifier to distinguish between sand, seed, and stone and then add an additional texture to the classification (your choice). The script uses a Local Binary Pattern (LBP) to create the features and a Support Vector...
Instructional Video7:23
Mediacorp

The Agony and Ecstasy of Former Chinese Athletes

12th - Higher Ed
This video tells the stories of two former athletes in China who faced setbacks in their sporting careers but found new paths in life. Despite their dreams of becoming Olympic-level athletes being cut short by injuries, they have shown...
Instructional Video3:13
National Institute of Standards and Technology

Heroes of American Manufacturing ACR Electronics

9th - 12th
ACR Electronics, a client of FloridaMakes (the MEP Center in Florida and part of the MEP National Network is the leading development center for emergency beacons that are designed with one purpose: to save lives. Through their combined...
Instructional Video10:23
Curated Video

Predictive Analytics with TensorFlow 7.1: Deep Learning for Better Predictive Analytics

Higher Ed
DL is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data. In this video, we will see artificial neural networks and deep neural networks. We will also see deep neural networks architecture....
Instructional Video11:50
Curated Video

Predictive Analytics with TensorFlow 7.3:Using Multilayer Perceptrons for Predictive Analytics

Higher Ed
For this video, we will be using bank marketing datasets. The data is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. We will do predictive analytics using...
Instructional Video2:50
Seven Dimensions

Coaching for Skill Development and Peak Performance

Higher Ed
In this video, the speaker discusses the importance of coaching in building skills and maximizing performance. They emphasize the need to not only focus on overcoming weaknesses but also on enhancing strengths.
Instructional Video9:24
TLDR News

Labour’s Manifesto Quickly Summarised (2019 Election) - TLDR News

12th - Higher Ed
On Thursday the Labour party announced their new manifesto, full of their promises to the electorate. We read all of this over 100-page document and compressed it into less than 10 minutes to make understanding their policies easier!
Instructional Video2:56
Curated Video

Ensemble Machine Learning Techniques 2.1: Problems that Ensemble Learning Solves

Higher Ed
This video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning
Instructional Video13:02
Seven Dimensions

Building a Respectful Workplace

Higher Ed
This video emphasizes the importance of building a respectful workplace and explains the three levels of respect: respecting rights, respecting differences, and respecting competence. It also discusses the characteristics and benefits of...