Math Fortress
Differential Equations: Definitions and Terminology (Level 1 of 4)
This video introduces the basic definitions and terminology of differential equations. The topics covered include classification of differential equations by type, order and linearity.
Brian McLogan
How to find when a particle is at rest from a position graph
👉 Learn how to solve particle motion problems. Particle motion problems are usually modeled using functions. Now, when the function modeling the position of the particle is given with respect to the time, we find the speed function of...
Brian McLogan
Calc Unit 4 What is the constant multiple rule of integration
Calc Unit 4 What is the constant multiple rule of integration
Brian McLogan
What do I need to know for solving trigonometric equations
👉 Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include factoring out the GCF and simplifying the factored equation. Another method is to use a...
Catalyst University
Isobaric Expansion Coefficient and Isothermal Compressibility
Isobaric Expansion Coefficient and Isothermal Compressibility
Brian McLogan
Calculus Unit 4 Property of definite integral is zero
Calculus Unit 4 Property of definite integral is zero
Brian McLogan
Find the derivative inverse function given a point
👉 Learn how to find the derivative of the inverse of a function. The derivative of a function, y = f(x), is the measure of the rate of change of the function, y, with respect to the variable x. The process of finding the derivative of a...
Brian McLogan
Determine when a particle is increasing
👉 Learn how to solve particle motion problems. Particle motion problems are usually modeled using functions. Now, when the function modeling the position of the particle is given with respect to the time, we find the speed function of...
Brian McLogan
Use the difference quotient to find the derivative of square root
👉 Learn how to evaluate the limit of a function using the difference quotient formula. The difference quotient is a measure of the average rate of change of the function over an interval, h. The limit of the difference quotient gives the...
Curated Video
Deep Learning with Python (Video 6)
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python....
Brian McLogan
Pre calc unit 3 Learn how to find the missing radius given arc length and theta in degrees
Pre calc unit 3 Learn how to find the missing radius given arc length and theta in degrees
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights
In this video, you will learn how to update weights. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep learning.
Professor Dave Explains
Evaluating Integrals With Trigonometric Functions
How to evaluate integrals with trigonometric functions.
Catalyst University
Thermodynamic Parameters of Solution Mixing
Thermodynamic Parameters of Solution Mixing
Brian McLogan
Learn how to determine when a particle is at rest using a calculator
👉 Learn how to solve particle motion problems. Particle motion problems are usually modeled using functions. Now, when the function modeling the position of the particle is given with respect to the time, we find the speed function of...
Brian McLogan
Calc Unit 4 Multiplying so you can find an antiderivative of x and square root of x
Calc Unit 4 Multiplying so you can find an antiderivative of x and square root of x
Brian McLogan
Learn to find the average acceraltion of a particle not given in a table
👉 Learn how to solve particle motion problems. Particle motion problems are usually modeled using functions. Now, when the function modeling the position of the particle is given with respect to the time, we find the speed function of...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Optimizations
In this video, we will cover DNN optimizations. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights in Python
In this video, you will learn how to update weights in Python. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Gradient Step
In this video, we will break down the gradient step and learn how to update weight and biases. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Backpropagation
This video explains backpropagation. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural network.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Optimizations
This video explains about DNN optimizations. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for deep RL.
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Local Minima Problem
In this video, we will talk about the local minima problem. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations of a...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Backpropagation Through Time
In this video, we will cover backpropagation through time. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...