This is a lecture video about composite indices in economics. It explains the concept of composite indices, which are used to measure variables that cannot be directly measured. The speaker discusses examples of composite indices and...

You think you understand America's class warfare? Maybe not. Thoughts from the author of the most-read article in the history of the Harvard Business Review: "What So Many People Don't Get About the U.S. Working Class."<br/>

From the section: Lights, Camera, Action – Building Blocks of Reinforcement Learning. In this section, we learn about the main building blocks of reinforcement learning, including the action space, the environment, and the rewards....

From the section: Model-Free Prediction and Control With Monte Carlo (MC). In this section, we will learn one of two improvements on DP – Monte Carlo, a method which does not require a model of the environment. We talk about a new...

From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB...

From the section: Errors in Python. This section introduces you to errors in Python.<b<br/>r/>

This video provides an introduction to errors in Python.

From the section: Unit Testing with Python. In this section, you will learn about unit testing using Python.<b<br/>r/>

This video explains the various testing functions in Python.

From the section: Power Supplies. Here, we check our power supply, mount the power supply and learn how to cool our PC. All PCs make heat. Too much heat will damage components, so the heat must be dissipated from the system. Cooling...

From the section: What are the threats?. This section includes threats, types of malware and lot more.



This video gives an overview of malware and threats. It shows how to recognize malware, types of malware and how devices...

From the section: Artificial Neural Networks. In this section, we’ll learn about ANN.<b<br/>r/>

Artificial Neural Networks: Example 1 - Build Multi-layer perceptron for binary classification

From the section: Introduction to Self-Driving Cars. In this section, we’ll cover a brief history and an overall outcome that you can expect by the end of this course.



Introduction to Self-Driving Cars: A Brief History of...

This video highlights the efforts of Okra Solar, a social enterprise backed by the Cambodian Government, to provide clean and affordable energy to off-grid communities in Cambodia. This sustainable approach showcases the potential for...

This video explores the fascinating world of reproductive strategies in the animal kingdom, from the female praying mantis eating her mate to the diverse approaches of species like zebras and sea turtles. By delving into the concepts of...

Learn how to make everything from basic line graphs to racing bar charts – all interactive and easily animated -- with echarts4r!

Learn how to use Python's docstrings feature to embed documentation directly into your code, available through Python's help system and accessible by third-party documentation-generation tools.

Scott Hall has over 15 years of teaching experience at all levels of education. He currently works in Basel, Switzerland as a Technology Integration Coach. Scott has long been an early adopter of technology in the classroom. As an...

The technologies that fuel NASA's exploration don't just stay in space. They benefit humanity in everyday life — sometimes in surprising ways, like how a NASA communications engineer helped create a system that freezes bone marrow.

Does it get any better than Mozart? This composer insights lesson explores the first movement of Mozart’s K545 Sonata in C. The simple phrase structure and melodic design are unpacked in the context of the overall Sonata Form. Triadic...

In part 3 of this INET interview, Alexander Field discusses how innovation occurred during the Depression era. He suggests that massive investment—and indeed even growing investment during the Depression—in R&D led to widespread gains in...

From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In...

From the section: Model-Free Prediction and Control With Monte Carlo (MC). In this section, we will learn one of two improvements on DP – Monte Carlo, a method which does not require a model of the environment. We talk about a new...

From the section: Errors in Python. This section introduces you to errors in Python.<b<br/>r/>

This video explains how to create errors in Python.

From the section: Advanced Python. This section helps to understand about OOP, classes, class interface etc. We will dive into learning Advance Python



Errors happen. You can NOT avoid them. It's a fact of life, your programs...

From the section: Data Operations. In this section, you will learn about the different types of operators used in Python. This section will teach you the building blocks for any kind of operations in Python.



Data Operations:...