This video shows the process for solving the problem presented in IGCSE A June 2018 paper 2HR Q12, which involves angles of a circle. Students will understand the properties of tangents and inscribed angles in a circle. They will derive...

This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1HR Q2, which involves estimating the mean of a data set. In this video, students will learn how to use frequency tables to estimate the mean of a...

This video shows the process for solving the problem presented in IGCSE A June 2018 paper 2HR Q13, which involves finding the point of intersection between a line and the x-axis. Students will understand the properties of perpendicular...

This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1HR Q10, which involves solving a system of simultaneous equations. By the end of the video, learners will know the different methods for solving a...

This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1H Q9, which involves finding the perimeter of a geometric shape. By the end of the video, the learner will know how to calculate the perimeter of...

This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1H Q6, which involves chords and diameter of a circle. Learners are given some information and they need to use the Pythagorean theorem and use the...

Whether you're relying on the careful observations of 1950s amateur astronomers and backyard telescopes or state-of-the-art GPS tracking and navigation technology: knowing where you are in space means needing to know what time it is.

In this video, the teacher explains how to calculate and compare the spread of data sets using the interquartile range. The interquartile range helps determine the range of the middle half of the data, which is especially useful when...

This video provides a lecture on how to calculate the equation of a straight line using coordinates. The presenter explains the formula for a linear graph, which is Y = MX + C, where M is the gradient and C is the Y-intercept. The video...

In this session, we will continue working on our flow for the web application. We will add the Business layer.
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This clip is from the chapter "Getting Started with Spring Framework" of the series "Java Programming for...

Let's discuss the solution for the quiz we discussed in a previous lesson.
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This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on Spark...

A bitesize series of lessons in Business English.

In this video, the concept of normal costing is explained as a means of allocating costs to a product, specifically focusing on overhead costs. The speaker discusses how a derived overhead rate is determined based on the driver of an...

In this video, we will cover two random variables with the help of an example.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...

Calculate absolute deviations and the mean absolute deviations of a data set.

With the Bohr model we start to get a better sense of the nature of matter, particularly the way light interacts with atomic matter such that we can see it. But how do we do calculations regarding these interactions? Let's practice now!

This video demonstrates hand engineering versus CNNs.
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This clip is from the chapter "Object Detection" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the methods of object...

This is a solution video on extending to multiple layers.
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This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient...

In this video, we will understand how artificial neural networks work.
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This clip is from the chapter "Summary - Overview of Neural Networks" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...

This video explains the dry run of the get state.
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This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Naive Random...

We will look at sprucing up our output so that it is more easier to look at.
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This clip is from the chapter "Functions" of the series "The Ultimate Guide to Python Programming with Python 3.10".This section illustrates a lot...

In this lesson, we will start sending us notifications from our sedentary alert project using the notifier function with the recursive call.
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This clip is from the chapter "Project Sedentary Alert" of the series "The Ultimate...

To make functions very useful, we'll have our functions return values to the function call in this course segment.

This video explains how to calculate age.<br<br/>/>

This clip is from the chapter "Date Functions" of the series "Business Intelligence with Microsoft Power BI - with Material".This section explains the date functions in detail.