Instructional Video5:33
Curated Video

Build a Super Advanced Trading Bot on DYDX Hosted on AWS with Python - Statistical Arbitrage and Cointegration

Higher Ed
In this video, we will explore the concepts of statistical arbitrage and cointegration. You will understand how statistical arbitrage can be applied to pairs trading strategies, and the importance of identifying cointegrated...
Instructional Video4:37
Curated Video

Understanding Demand Analysis and Correlation in Stock Trading

12th - Higher Ed
In this lesson, we delve into the significance of demand analysis and correlation in stock trading. We explore how price fluctuations in different companies, such as Starbucks and McDonald's, can be influenced by varying client bases and...
Instructional Video9:23
Curated Video

Understanding Investment Performance and Correlations

12th - Higher Ed
Description: In this enlightening lesson, we dive into the correlation between investment tools, investment life cycles, and market trends. Take a journey through the past five and ten years' performance of equities, commodities, and...
Instructional Video3:13
Curated Video

Optimal Portfolio Allocation: Balancing Risks for Maximum Returns

12th - Higher Ed
Building on our previous lesson about money management, this session delves into portfolio allocation theory with a practical example. Learn how to allocate your investments wisely to achieve a balanced and diversified portfolio....
Instructional Video4:47
Curated Video

Is AI Racist? Sometimes. | AI 103: Ethics (Part 1 of Many)

Higher Ed
AI can be kind of racist. How does that happen, and how can we fix it?
Instructional Video4:17
Curated Video

Scatter Plots

K - 8th
β€œScatter Plots” will explain how to construct a scatter plot and use it to predict values.
Instructional Video1:37
Curated Video

R Programming for Statistics and Data Science - Correlation Versus Regression

Higher Ed
This video explains correlation versus regression. This clip is from the chapter "Linear Regression Analysis" of the series "R Programming for Statistics and Data Science".This section explains linear regression analysis.
Instructional Video12:08
Curated Video

Types of Relationships in Scatter Plots

9th - 12th
In this video lesson, the teacher explains scatter plots and how they are used to show the relationship between two sets of data. They cover different types of relationships, including linear and nonlinear, and how to interpret the data...
Instructional Video6:41
Curated Video

R Programming for Statistics and Data Science - Covariance and Correlation

Higher Ed
This video explains covariance and correlation. This clip is from the chapter "Exploratory Data Analysis" of the series "R Programming for Statistics and Data Science".This section explains exploratory data analysis.
Instructional Video9:34
Curated Video

Learn JMeter from Scratch on Live Applications - Performance Testin - Importance of Regular Expression in Parsing the Response

Higher Ed
This video explains the importance of regular expressions in parsing the response. This clip is from the chapter "Handling Dynamic Responses - Advanced JMeter" of the series "Learn JMeter from Scratch on Live Applications - Performance...
Instructional Video9:56
Curated Video

Predictive Analytics with TensorFlow 4.1: Supervised Learning for Predictive Analytics

Higher Ed
In this video, we will see a type of machine learning process that is supervised learning. We will also see linear regression. We will use it for movie rating prediction. β€’ See the spam filtering example β€’ Use linear regression for movie...
Instructional Video6:23
Curated Video

Understanding the Correlation between Obesity and Type 2 Diabetes

Higher Ed
This video provides an explanation of type 2 diabetes and its correlation with obesity. It discusses the rise in type 2 diabetes diagnoses and obesity rates in many countries, and highlights excess body fat as the strongest risk factor...
Instructional Video20:22
APMonitor

Data Science 🐍 Interpolation

10th - Higher Ed
Interpolation constructs new prediction points from a discrete set of known data points. There are many types of interpolation such as nearest neighbor (piecewise constant), linear, polynomial, cubic spline, and basis spline. In...
Instructional Video11:39
Curated Video

Create a machine learning model of a real-life process or object : Implementing a Multi Layer Perceptron (Artificial Neural Network)

Higher Ed
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Instructional Video15:35
APMonitor

Nonlinear Regression in MATLAB

10th - Higher Ed
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the MATLAB APMonitor toolbox. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared...
Instructional Video2:58
FuseSchool

What Is Nuclear Fission?

6th - Higher Ed
"How does a nuclear reactor provide energy? What causes a nuclear meltdown? And how do we make this safe?
Instructional Video24:46
APMonitor

Visualization Case Study: Concrete Strength

10th - Higher Ed
Concrete mixtures have several variations. This data set is a case study for data visualization and exploration to predict the concrete compressive strength (MPa). 0:00 Introduction 0:20 Concrete Case Study 1:52 Jupyter Notebook Source...
Instructional Video24:12
APMonitor

Data Science 🐍 Features

10th - Higher Ed
Features are input values to regression or classification models. The features are inputs and labels are the measured outcomes. Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete...
Instructional Video14:05
ProTeachersVideo

Painting With Numbers: Lucky Numbers

Higher Ed
Mathematician Marcus du Sautoy combines visual demonstrations with his unique gift for explanation to explains how maths can help us choose the best cat food, and pick our lottery numbers . Marcus explains how advertisers attempt to...
Instructional Video5:57
Healthcare Triage

The Diet Soda Myth and Barriers to Good Research

Higher Ed
A recent study had a lot of negative things to say about diet sodas, but how seriously should we take that study? Observational research can be powerful and useful, but it can also lead to shaky outcomes. So, what does this study tell us...
Instructional Video9:14
APMonitor

Nonlinear Regression in Microsoft Excel

10th - Higher Ed
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the Excel solver add-in. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared errors),...
Instructional Video5:53
Global Health with Greg Martin

Causality. Why you shouldn't use Bradford Hill criteria!

Higher Ed
Determining causality isn't easy. Correlation doesn't mean causation. And yet where we see a strong correlation between an exposure and an outcome, we need to be able to determine if there is a cause and effect relationship. Public...
Instructional Video41:28
Healthcare Triage

AIDS Research and Cool Jobs in the Midwest/East Africa, featuring Dr. Rachel Vreeman

Higher Ed
This week on the HCT podcast, we're talking to Dr. Rachel Vreeman, who is going to tell us about her super cool job. She works on a partnership between a hospital in Indiana and a hospital in Kenya, and researches AIDS treatment in...
Instructional Video13:27
Institute for New Economic Thinking

What Financial Regulators Can Learn from Network Theory

Higher Ed
When regulators seek to identify systemically important financial institutions (SIFIs), they tend to focus on an institution's size and connectedness. But this approach mises an important dimension of systemic risk, according to Imre...