Instructional Video17:44
Curated Video

Ian Beck's ‘Propping Up The Line’: Alice’s experiences on the Home Front

Pre-K - Higher Ed
Pupil outcome: I can rewrite a passage of Ian Beck's ‘Propping Up The Line’ from the perspective of the character of Alice. Key learning points: - The Home Front refers to the idea that those in Britain felt the impact of World War One...
Instructional Video22:05
Curated Video

'Jekyll and Hyde' Chapter 8: The Last Night

Pre-K - Higher Ed
Pupil outcome: I can make logical inferences using clues from the text. Key learning points: - The breaking of the laboratory door is symbolic of the secrets that are about to be revealed. - Utterson finds Hyde, who has died by suicide,...
Instructional Video32:59
Curated Video

Rich vocabulary associated with hope

Pre-K - Higher Ed
Pupil outcome: I can effectively use the words ‘auspicious’, ‘sanguine’ and other rich vocabulary associated with hope. Key learning points: - 'Auspicious' is an adjective which means hopeful or encouraging. - 'Sanguine' is an adjective...
Instructional Video18:59
Curated Video

Solving Limiting Reactant Practice Problems!

9th - Higher Ed
In this video we walkthrough 3 limiting reactant practice problems step by step and show you how to solve them!
Instructional Video6:47
Wonderscape

Using Inference and Cause and Effect Clues in Reading

K - 5th
Learn how to utilize inference clues, which require reasoning skills and background knowledge, to deduce the meaning of unknown words in context. Explore cause and effect clues, signaled by words like "because" or "due to," to...
Instructional Video9:47
Curated Video

Fundamentals of Neural Networks - Cross-Entropy Loss Function

Higher Ed
This video explains the cross-entropy function, which is designed under the assumption that the variable you are trying to predict is binary.
<
br/>
This clip is from the chapter "Artificial Neural Networks" of the series...
Instructional Video9:40
Curated Video

Fundamentals of Neural Networks - Linear Regression

Higher Ed
This video explains statistical machine learning, where you will start with the linear regression model.
<
br/>
This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section...
Instructional Video5:05
Curated Video

Scientific Method

3rd - 8th
Dr. Forrester explains the scientific method.
Instructional Video16:14
All Ears English

2049 - I Have to Say, Your English Is Very Natural

Pre-K - Higher Ed
Today we answer a listener question - what is the difference between I have to say, I would say, and I would have to say? Learn more about these 3 useful phrases and get barbecue guest tips in American culture.
Instructional Video26:54
Sir Linkalot

Lesson 52: Silent letters + Susie's Stories - Levels 3-5

K - 5th
Material covered:Encourage,Character,Autumn,Tongue<br/>
Susie's Story <br/>- Desperate
Susie's Story - Sergeant
Instructional Video26:37
Sir Linkalot

Lesson 52: Silent letters + Susie's Stories - Levels 3-5

K - 5th
You'll see Sir Linkalot putting Lady Lexicographer through the wringer in this lesson. Risky, Linky. Risky. Material covered: Encourage Character Autumn Tongue Susie's Story - Desperate Susie's Story - Sergeant
Instructional Video4:38
Curated Video

Speak About Numbers Like a Native

9th - Higher Ed
Today you’ll learn phrases that will help you speak about numbers like a native on your next IELTS Speaking Exam.
Instructional Video7:48
Curated Video

Figma for UIUX Master Web Design in Figma - Analytics in Web Design

Higher Ed
This video explains analytics in web design.
<
br/>
This clip is from the chapter "The Second Key to Great Web Design" of the series "Figma for UI/UX: Master Web Design in Figma".This section focuses on the second key to great web...
Instructional Video4:08
IDG TECHtalk

Python 3.10's new features: Better error reporting

Higher Ed
Python 3.10 makes use of the new parser introduced in Python 3.9 to deliver more detailed, informative, and accurate error messages for your code. See some examples in this video of how the new error messages make developing in Python...
Instructional Video51:45
Curated Video

Fundamentals of Machine Learning - Unsupervised Learning

Higher Ed
This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering.
<
br/>
This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
Instructional Video22:10
Curated Video

Fundamentals of Machine Learning - Support Vector Machine (SVM) - Lectures

Higher Ed
This video explains the support vector machine called SVM and its introduction.
<
br/>
This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
Instructional Video20:45
Curated Video

Fundamentals of Machine Learning - Linear Regression - Labs

Higher Ed
This video explains linear regression using an example of predicting fuel efficiency.
<
br/>
This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on...
Instructional Video39:02
Curated Video

Fundamentals of Machine Learning - Linear Regression - Lectures

Higher Ed
This video explains the foundation of the linear regression model, which is the very first approach to supervised learning.
<
br/>
This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This...
Instructional Video37:51
Curated Video

Fundamentals of Machine Learning - Tree-Based Methods - Part 2

Higher Ed
The second part of the tree-based methods explains random forests.
<
br/>
This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...
Instructional Video9:40
Packt

Fundamentals of Neural Networks - Linear Regression

Higher Ed
This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Instructional Video36:50
Curated Video

Fundamentals of Machine Learning - Tree-Based Methods - Part 1

Higher Ed
This part of the video explains decision tree.
<
br/>
This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as...
Instructional Video8:54
Curated Video

Fundamentals of Machine Learning - Random Forests

Higher Ed
This video explains a lab session on random forests and a review of decision trees.
<
br/>
This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on...
Instructional Video58:02
Curated Video

Fundamentals of Machine Learning - Deep Learning

Higher Ed
This video introduces you to deep learning, artificial neural networks, recurrent neural networks, and more.
<
br/>
This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the...
Instructional Video23:27
Wonderscape

Understanding Context Clues: Unlocking the Meaning of Unknown Words

K - 5th
This video is a lesson on how to use context clues to figure out the meaning of unknown words while reading. The teacher explains different types of context clues, such as synonym clues, antonym clues, definition clues, inference clues,...