Bozeman Science
Standard Deviation
In this video Paul Andersen explains the importance of standard deviation. He starts with a discussion of normal distribution and how the standard deviation measures the average distance from the mean, or the "spread" of data. He then...
Bozeman Science
Beats
In this video Paul Andersen explains how beats are created through interference of waves with similar frequencies. The changes in amplitude are caused by destructive and constructive interference. The frequency of beats is equal to the...
Curated Video
Fundamentals of Neural Networks - VGG16
This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". This clip...
Curated Video
Fundamentals of Neural Networks - Cross-Entropy Loss Function
This video explains the cross-entropy function, which is designed under the assumption that the variable you are trying to predict is binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
Curated Video
End Your Essay (PART 1): How to Write a Conclusion Paragraph
Wondering how to end your essay well? Trying to write a conclusion paragraph to wrap up your essay with an A+? In this video, I review the structure, outline and steps to writing a conclusion paragraph. First, I cover the purpose of a...
Curated Video
End Your Essay (PART 2): How to Write a Conclusion Paragraph
Trying to figure out how to write your conclusion paragraph? In this video, I show you how to end your essay in a powerful way. This video is part 2 of a series on conclusion paragraphs so make sure to watch both! First, I review the...
Brian McLogan
Evaluating the partial sum of a arithmetic series
👉 Learn how to find the partial sum of an arithmetic series. A series is the sum of the terms of a sequence. An arithmetic series is the sum of the terms of an arithmetic sequence. The formula for the sum of n terms of an arithmetic...
Curated Video
Measures of Central Tendency and Grouped Data: Examples and Estimations
This video is a lecture on measures of central tendency, specifically on how to find the mean for grouped data using coding sets. The lecturer explains the importance of summarizing large data sets and gives examples of various measures...
Curated Video
Learn and Master C Programming - Working with single-dimension arrays in C/C++
We will see how we can declare and process a single-dimensional array in C/C++. This clip is from the chapter "Arrays" of the series "Learn and Master C Programming For Absolute Beginners!".In this section, we will look at how to declare...
Brian McLogan
Learn how to write a geometric sequence in summation notation
👉 Learn how to write the sum from a geometric series. A series is the sum of the terms of a sequence. A geometric series is the sum of the terms of a geometric sequence. The formula for the sum of n terms of a geometric sequence is given...
Brian McLogan
Determine the rule of the sum using sigma sum notation
👉 Learn how to find the geometric sum of a series. A series is the sum of the terms of a sequence. A geometric series is the sum of the terms of a geometric sequence. The formula for the sum of n terms of a geometric sequence is given by...
Brian McLogan
Given summation notation, learn how to find the sum of a finite series
👉 Learn how to find the geometric sum of a series. A series is the sum of the terms of a sequence. A geometric series is the sum of the terms of a geometric sequence. The formula for the sum of n terms of a geometric sequence is given by...
Curated Video
Selenium Python Automation Testing from Scratch and Frameworks - Loops in Python and the Importance of Code Indentation
This section explains loops in Python, and also explains the importance of code indentation. This clip is from the chapter "Program Flow Control in Python" of the series "Selenium Python Automation Testing from Scratch and...
msvgo
Axiomatic Approach to Probability
It states the axiomatic approach to probability and explains the probabilities of event, mutually exclusive events and equally likely events with the help of examples.
Curated Video
Selenium Python Automation Testing from Scratch and Frameworks - Inheritance Concepts with Examples
This video explains the concept of inheritance with an example. This clip is from the chapter "Understanding Object-Oriented Principles of Python" of the series "Selenium Python Automation Testing from Scratch and Frameworks".This...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - How do Artificial Neural Networks Work?
In this video, we will understand how artificial neural networks work. 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 section, we...
Packt
Fundamentals of Neural Networks - Cross-Entropy Loss Function
This video explains the cross-entropy function, which is designed under the assumption that the variable you are trying to predict is binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
Packt
Fundamentals of Neural Networks - Backward Propagation
This video explains backward propagation, which is defined by the optimization problem called the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Joint Distributions Solution 01
In this video, we will cover joint distributions solution 01. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Curated Video
019 What is Summation (2 Types)
In this video, I discuss the topic of summation. It covers both temporal and spatial summation, dealing with how it can result in the addition of PSPs to result in an action potential. Enjoy!
Brian McLogan
How to find the variance and standard deviation from a set of data
👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value. The standard...
Brian McLogan
Learning how to find the variance and standard deviation from a set of data
👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value. The standard...