Instructional Video32:33
Curated Video

Checking and securing understanding of drawing linear graphs

Pre-K - Higher Ed
Pupil outcome: I can draw a linear graph from its equation and relate the features of the graph to its equation. Key learning points: - It is possible to identify the gradient and y-intercept when the equation is written in the form y =...
Instructional Video31:52
Curated Video

The intercept point

Pre-K - Higher Ed
Pupil outcome: I can calculate the intercept point from a graph and from two coordinate pairs. Key learning points: - The y-intercept can be found by considering the graph. - The y-intercept occurs when the x value is zero. - The...
Instructional Video10:10
Curated Video

Graphing Linear (2-variable) Inequalities

6th - Higher Ed
This video explains how to graph linear two-variable inequalities. It covers identifying solution and non-solution points, plotting the boundary line, choosing the correct shading, and understanding when to use dotted versus solid lines....
Instructional Video7:33
Curated Video

Point Slope Word Problems

6th - Higher Ed
How to solve word problems using point-slope form of a line. Typically, students are very comfortable using slope-intercept form of an equation, but we rarely see examples where using point-slope form is the most efficient. In this...
Instructional Video5:53
Curated Video

Restriction Mapping of Circular and Linear DNA

9th - Higher Ed
A restriction map is a map of known restriction sites within a sequence of DNA. Restriction mapping requires the use of restriction enzymes. In molecular biology, restriction maps are used as a reference to engineer plasmids or other...
Instructional Video7:03
Professor Dave Explains

Classification of Differential Equations

9th - Higher Ed
Now that we know what differential equations are, we have to learn how to classify them. We have to know whether a DE is ordinary or partial, linear or nonlinear, homogenous or nonhomogenous, autonomous or nonautonomous. We have to be...
Instructional Video9:49
Professor Dave Explains

Homogeneous Differential Equations and Bernoulli Differential Equations

9th - Higher Ed
We have covered three classes of first-order differential equations, those being separable, linear, and exact. There are just two more to go over, those being homogenous and Bernoulli differential equations. What are these, how do we...
Instructional Video4:16
Professor Dave Explains

Linear First-Order Differential Equations

9th - Higher Ed
We just got our feet wet with separable differential equations, so now let's look at something slightly trickier. Solving linear first-order differential equations will require a little bit more effort, involving something called an...
Instructional Video9:31
Curated Video

10 Math Concepts for Programmers

12th - Higher Ed
Learn 10 essential math concepts for software engineering and technical interviews. Understand how programmers use mathematics in fields like AI, game dev, crypto, machine learning, and more.
Instructional Video2:39
Curated Video

PyTorch in 100 Seconds

12th - Higher Ed
PyTorch is a deep learning framework for used to build artificial intelligence software with Python. Learn how to build a basic neural network from scratch with PyTorch 2.
Instructional Video1:45
The Business Professor

Cost Volume Profit Analysis (CVP) Assumptions - Accounting

Higher Ed
Various assumptions must be made or are relevant when conducting a Cost Volume Profit Analysis. This video explains the nature of those assumptions.
Instructional Video3:00
Science Buddies

The Physics of Bouncing a Ball | Science Project

K - 5th
In this physics science fair project, students will investigate the rebound height limits and linearity of dropped bouncy balls.
Instructional Video11:39
Astrum

Images of Europa: Our Solar System's Moons

Higher Ed
Jupiter's second Galilean Moon, Europa.
Instructional Video0:56
Curated Video

Chromosome

6th - 12th
A threadlike strand of DNA and associated proteins in the nucleus of eukaryotic cells, and the functional units of inheritance. A Twig Science Glossary Film. Key scientific terms defined in just 60 seconds using stunning images and...
Instructional Video3:00
Curated Video

Time Travel

6th - 12th
Is it possible to travel through time? Do the laws of physics make it impossible? How could it be achieved? Physics - Waves - Learning Points. Although the science is theoretical, the laws of physics do not rule out time travel. Einstein...
Instructional Video2:38
Curated Video

Planes, Wedges, Screws

6th - 12th
There are only six basic types of machine. Discover more about planes, wedges and screws: what are they and why are they useful? Physics - Forces - Learning Points. Machines based on the ideas of Archimedes make work easier. An inclined...
Instructional Video4:17
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - Proof That the Linear Model Works

Higher Ed
In this video, you will learn how the linear model is about to forecast for a sine wave. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural...
Instructional Video9:32
Curated Video

Project Finance and Excel - Build Financial Models from Scratch - Building the Amortization Table

Higher Ed
This amortization calculator returns monthly payment amounts as well as displays a schedule. This video talks about computing the amortization value and how to build the amortization table. This clip is from the chapter "Building the...
Instructional Video3:44
Curated Video

Deep Learning - Crash Course 2023 - Perceptron Limitations

Higher Ed
In this video, we will have a quick recap of Perceptron limitations and learn how Sigmoid Neuron is useful. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin...
Instructional Video3:53
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Deep Learning Foundation for Recommender Systems: Deep Learning in Recommendation systems

Higher Ed
As we are aware, recommender systems are migrating from machine learning to deep learning, the reason being to capture non-linear and non-trivial relationships.
Instructional Video7:23
Curated Video

Deep Learning - Artificial Neural Networks with Tensorflow - Code Preparation (Regression Theory)

Higher Ed
In this video, we will take a crash course in linear regression for TensorFlow 2.0. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...
Instructional Video3:49
Curated Video

Recommender Systems: An Applied Approach using Deep Learning - Deep Learning in Recommender Systems

Higher Ed
In this video, we will explore deep learning concepts in recommender systems, migrating from machine learning to deep learning, and capturing non-linear to non-trivial relationships. This clip is from the chapter "Deep Learning...
Instructional Video9:56
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Comparing Different Machine Learning Models

Higher Ed
In this video, we will understand how all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
Instructional Video6:26
Curated Video

Classify Graphs and Equations as Linear or Nonlinear

9th - 12th
In this video math lesson we will learn how to classify graphs and equations as linear or nonlinear functions. We will define a linear function as a relationship between two quantities with a constant rate of change. The graph of a...