Instructional Video4:05
SciShow

Evolution & The Science of Popular Music

12th - Higher Ed
This week, researchers reveal the single most important influence on music since 1960. Also, turns out that sleepwalking and sleep terrors are genetically linked.
Instructional Video5:22
TED-Ed

TED-Ed: A different way to visualize rhythm - John Varney

Pre-K - Higher Ed
In standard notation, rhythm is indicated on a musical bar line. But there are other ways to visualize rhythm that can be more intuitive. John Varney describes the 'wheel method' of tracing rhythm and uses it to take us on a musical...
Instructional Video3:48
PBS

Are Mashups the End of Music Genres?

12th - Higher Ed
Some of the best things to be found on the internet are music mashups! It's a strangely pleasing experience to listen to totally unrelated artists commingling on the same music track. Mashups are awesome because they break genre...
Instructional Video2:46
TED-Ed

TED-Ed: In on a secret? That's dramatic irony - Christopher Warner

Pre-K - Higher Ed
You're in a movie theater, watching the new horror flick. The audience knows something that the main character does not. The audience sees the character's actions are not in his best interest. What's that feeling -- the one that makes...
Instructional Video8:06
Curated Video

The Magic of the Theater: Exploring the World of Plays and Performances

Pre-K - 3rd
In this video, Nova takes the viewers on an adventure to learn about the magic of the theater. Exploring the different roles and genres in theater, Nova explains how plays are created and performed live. The video also introduces the...
Instructional Video7:12
Curated Video

Modern JavaScript from the Beginning - Second Edition - TV Show Details Page

Higher Ed
In this video, we will create a TV show details page that's similar to the movie details page. We will fetch TV show data from the API and use a template literal to render the content. This clip is from the chapter "Flixx Movie App...
Instructional Video4:58
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Dataset Usage

Higher Ed
In this lesson, you will learn to develop our content-based filtering for the song project.
Instructional Video11:09
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: tf-idf Matrix

Higher Ed
In this video, you will learn to make the recommendation engine using the tf-idf matrix.
Instructional Video12:31
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Exploring Genres in Content-Based Filtering

Higher Ed
After learning to explore genres, we will look at term frequency and inverse document frequency.
Instructional Video5:53
Instructional Video6:25
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Occurrence Count

Higher Ed
In this video, you will learn how to count the number of occurrences of each element in content-based filtering.
Instructional Video7:10
Instructional Video5:12
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Missing Values

Higher Ed
In this lesson, we will develop a new data frame for our content-based filtering for missing values.
Instructional Video12:27
Curated Video

ChatGPT for Creatives - Let's Make Some Formats

Higher Ed
In this video, you will learn to specify different genres and subgenres to ChatGPT and make it provide us with different formats of the storytelling components that we can use to create our very own story of preference with ideal word...
Instructional Video5:50
Curated Video

Recommender Systems with Machine Learning - tf-idf (Term Frequency-Inverse Document Frequency) Implementation

Higher Ed
This video demonstrates the implementation of tf-idf (Term Frequency-Inverse Document Frequency). This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with...
Instructional Video6:22
Curated Video

Recommender Systems with Machine Learning - Occurrence Count

Higher Ed
This video demonstrates the occurrence count of the specific condition. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
Instructional Video7:07
Curated Video

Recommender Systems with Machine Learning - Exploring Genres

Higher Ed
This video helps you with exploring genres from the dataset. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This section...
Instructional Video5:08
Curated Video

Recommender Systems with Machine Learning - Missing Values

Higher Ed
This video explains how to churn out the missing values from the dataset. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
Instructional Video4:52
Curated Video

Recommender Systems with Machine Learning - Dataset Usage

Higher Ed
This video explains how to use the dataset to your advantage. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This section...
Instructional Video10:53
Curated Video

Recommender Systems with Machine Learning - tf-idf (Term Frequency-Inverse Document Frequency) Matrix

Higher Ed
This video is about the tf-idf (Term Frequency-Inverse Document Frequency) matrix. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on...
Instructional Video12:27
Curated Video

Recommender Systems with Machine Learning - Exploring Genres in Content-Based Filtering

Higher Ed
This video helps you explore the genres in content-based filtering. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of...
Instructional Video2:48
Curated Video

Colson Whitehead

9th - Higher Ed
The first author to win the Pulitzer Prize for two consecutive novels, Colson Whitehead is one of the United States’ most versatile writers.
Instructional Video2:59
Curated Video

Nonfiction

3rd - Higher Ed
This video discusses the nonfiction genre as well as qualities, types of pieces, and characteristics of the genre.
Instructional Video7:34
Curated Video

Mass Media: Functionalist

9th - 12th
A general introduction to the Functionalist perspective on Mass Media.