TED Talks
Evan Grant: Making sound visible through cymatics
Evan Grant demonstrates the science and art of cymatics, a process for making soundwaves visible. Useful for analyzing complex sounds (like dolphin calls), it also makes complex and beautiful designs.
Curated Video
How to Overcome Stage Fright
Howcast - Marcia Brady was told to combat stage fright by picturing audience members in their underwear – but here are some proven ways to beat an affliction that affects three-quarters of all performers.
Curated Video
How to Visualize Success
Howcast - Learn how to visualize success from life coach Stephanie Florman in this Howcast video.
Rachel's English
I was nervous but READY! I’ll show you my conference experience.
You get to come along with me to a conference! I gave a presentation and I’ll show you everything! It’ll include some great vocabulary practice and training. If you’re working on your American English accent there’s no better way to...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Outliers Removal
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...
Curated Video
Visualizing Neural Networks | AI 101
In this month's AI 101, we're learning how to visualize neural networks, and how that can help us better understand our models.
Curated Video
#3 Use the Five Senses to Visualize Text (Reading Comprehension)
In this video, I teach you how to visualize with the 5 senses as you read. This is a great way to help you understand what you are reading. I explain the purpose of visualizing and give you two examples. I even include a FREE workbook. I...
Curated Video
Solving Sphere Volume Problems
In this video, students learn how to solve problems involving the volume of spheres by visualizing the problem and working backward. The video explains the difference between volume and surface area and guides students through the steps...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Running the Blackjack Environment From the OpenAI Gym
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...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Visualizing the Outcomes of the Epsilon-Greedy Policy
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...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Visualizing the Outcomes of a Simple Blackjack Strategy
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...
Curated Video
Python 3: Project-based Python, Algorithms, Data Structures - Introduction to section 4 and overview of the material covered in it
Intro to part 2 of this course with section 4 and sorting algorithms, performance analysis and recursion This clip is from the chapter "Algorithms - Sort, performance, complexity and big O notation" of the series "Python 3: Project-based...
Curated Video
Python 3: Project-based Python, Algorithms, Data Structures - Course structure and content overview
An in-depth look at the structure of the course and an overview of the content of every section This clip is from the chapter "Introduction" of the series "Python 3: Project-based Python, Algorithms, Data Structures".This section...
Curated Video
Understanding Events and Complements in Probability
In this video, the teacher explains the concept of sample space, events, and their complements in probability. The teacher provides examples and strategies for listing outcomes systematically and avoiding common misunderstandings.
Brian McLogan
How to integrate using u substitution
👉 Learn how to find the antiderivative (integral) of a function. The integral, also called antiderivative, of a function, is the reverse process of differentiation. Integral of a function can be evaluated as an indefinite integral or as...
Curated Video
Segmentation, Targeting, and Positioning in Marketing: Putting Theory into Practice
This video is a lecture/presentation that explains the concepts of segmentation, targeting, and positioning in marketing. The presenter provides a definition of each concept and explains how they relate to each other. The lecture also...
Curated Video
Agile Masterclass: Agile for Project Management - Introduction to Kanban
This video explains Kanban. This clip is from the chapter "Introduction to Agile Kanban" of the series "Agile Project Management: Agile, Scrum, Kanban, and Extreme Programming".This section introduces you to Agile Kanban.
Curated Video
Learning D3.JS 5.0 7.5: Working with Arrays
In this video, we will use arrays to simulate real-life examples. • Go through the array documentation • Use the array and alternate the domain() in the code • Use the console to check whether the result is correct
Curated Video
Learning Angular 2 Directives (Video 14)
Get up to speed with the building blocks of Angular 2. New technologies and new patterns are emerging on a daily basis. Coding for the front end is extremely demanding, but at the same time more interesting and challenging than ever...
Curated Video
Understanding Division through Visualization
In this video, students learn how to interpret the quotient in a division problem by visualizing the action in a word problem. The video provides two different models, the sharing model and the repeated subtraction model, to help...
Curated Video
Machine Learning Random Forest with Python from Scratch - Outliers
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...
Curated Video
Machine Learning Random Forest with Python from Scratch - Outliers Removal
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Python for Data Science: NumPy Pandas and Matplotlib (Part 6)
In this video, we will cover NumPy Pandas and Matplotlib (part 6).