Instructional Video4:06
TED-Ed

TED-ED: Did Shakespeare write his plays? - Natalya St. Clair and Aaron Williams

Pre-K - Higher Ed
Some people question whether Shakespeare really wrote the works that bear his name _ or whether he even existed at all. Could it be true that the greatest writer in the English language was as fictional as his plays? Natalya St. Clair...
Instructional Video11:05
Crash Course

Measures of Spread - Crash Course Statistics

12th - Higher Ed
Today, we're looking at measures of spread, or dispersion, which we use to understand how well medians and means represent the data, and how reliable our conclusions are. They can help understand test scores, income inequality, spot...
Instructional Video11:25
Crash Course

Randomness - Crash Course Statistics

12th - Higher Ed
There are a lot of events in life that we just can’t predict, but just because something is random doesn’t mean we don’t know or can’t learn anything about it. Today, we’re going to talk about how we can extract information from...
Instructional Video2:06
Science Buddies

Simple Explanation of the K-Means Unsupervised Learning Algorithm

K - 5th
Explore how machine learning can recommend music based on similarity
Instructional Video5:33
Curated Video

Financial Analysis - Build a ChatGPT Pairs Trading Bot - Benchmark Against Buy-and-Hold

Higher Ed
Let's understand how to benchmark our pairs trading strategy against a buy-and-hold approach, a benchmark in trading and investing, and learn to interpret and analyze the performance of our pairs trading strategy relative to a...
Instructional Video5:41
Curated Video

Rust Programming 2023 - A Comprehensive Course for Beginners - Solution - Write Error Handling for a Program in Rust

Higher Ed
This is a solution video on writing error handling for a program in Rust. This clip is from the chapter "Intermediate to Advanced Videos in Rust" of the series "Rust Programming 2023 - A Comprehensive Course for Beginners".null
Instructional Video2:48
Curated Video

Microsoft Project 2021 From Beginners to Advanced - Switch Between Tables

Higher Ed
This video covers switching between different tables in Project 2021, such as the Task table, Resource table, and Assignment table. Learn to customize tables, save custom tables, and switch between different tables quickly. This clip is...
Instructional Video11:38
Curated Video

Microsoft Project 2021 From Beginners to Advanced - Calculated Custom Field - Part 1

Higher Ed
In Part 1 of the calculated custom fields lesson, we will understand the concept of computed custom fields and how to create them to perform specific calculations related to project data. This clip is from the chapter "Custom Fields" of...
Instructional Video5:53
Curated Video

Microsoft Project 2021 From Beginners to Advanced - Fixed Task Costs

Higher Ed
In this video, we will learn to work with tasks that have fixed costs associated with them. We will gain insights into managing and tracking expenses not subject to change during the project. This clip is from the chapter "Costs" of the...
Instructional Video3:39
Curated Video

Microsoft Project 2021 From Beginners to Advanced - Exercise 03-2

Higher Ed
In this exercise video, we will create a custom field for a project we have not seen yet. We will save a baseline and change some estimates based on the plan. We will create a custom field of the type “flag†and summarize tasks with a...
Instructional Video3:35
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Important Parameters

Higher Ed
In this video, we will look at the important parameters defined in a recommender system.
Instructional Video3:33
Curated Video

Recommender Systems with Machine Learning - Important Parameters

Higher Ed
This video talks about the important parameters of recommender systems. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of...
Instructional Video12:19
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is Regression?

Higher Ed
In this video, we will understand what regression is. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover machine...
Instructional Video1:51
Curated Video

A Practical Approach to Timeseries Forecasting Using Python - Quiz Solution - Recurrent Neural Networks in Time Series Forecasting

Higher Ed
This is a solution video of the quiz on RNN in time series forecasting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Instructional Video6:24
Curated Video

A Practical Approach to Timeseries Forecasting Using Python - Model Evaluation for Underfitting and Overfitting

Higher Ed
This video demonstrates model evaluation for underfitting and overfitting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Instructional Video5:48
Curated Video

A Practical Approach to Timeseries Forecasting Using Python - Important Parameters

Higher Ed
This video talks about the important parameters in time series forecasting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Instructional Video3:23
Curated Video

A Practical Approach to Timeseries Forecasting Using Python - Features of Time Series

Higher Ed
This video explains the features of time series. This clip is from the chapter "Motivation and Overview of Time Series Analysis" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on the...
Instructional Video8:51
Curated Video

A Practical Approach to Timeseries Forecasting Using Python - Course Introduction

Higher Ed
This video talks about an overview of the course and its learning outcomes. This clip is from the chapter "Introduction" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section provides an introduction to...
Instructional Video1:51
Packt

Quiz Solution

Higher Ed
This is a solution video of the quiz on RNN in time series forecasting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Instructional Video6:24
Packt

Model Evaluation for Underfitting and Overfitting

Higher Ed
This video demonstrates model evaluation for underfitting and overfitting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Instructional Video8:22
Higgsino Physics

Machine Learning: Bias VS Variance

12th - Higher Ed
Bias versus variance trade-off, under fitting vs over fitting trade-off. Showing why there is balance between being underfit when using a machine learning model to perform better on a test set, instead only performing good on the...
Instructional Video3:24
Curated Video

Variance and Standard Deviation

3rd - Higher Ed
A video entitled “Variance and Standard Deviation” which describes ways that variance and standard deviation are used as measures in the real world.
Instructional Video6:12
Curated Video

R Programming for Statistics and Data Science - Variance, standard deviation, and coefficient of variability

Higher Ed
This video explains variance, standard deviation, and coefficient of variability. This clip is from the chapter "Exploratory Data Analysis" of the series "R Programming for Statistics and Data Science".This section explains exploratory...
Instructional Video7:01
Curated Video

R Programming for Statistics and Data Science - Test for the Mean - Population Variance Known

Higher Ed
This video explains test for the mean - population variance known. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.