Professor Dave Explains
Wavefunction Properties, Normalization, and Expectation Values
We are beginning to get a glimpse of quantum mechanical principles from a rigorous, mathematical perspective. Now that we know how to use operators in conjunction with wavefunctions, let's get a better sense of what wavefunctions...
Brian McLogan
Master How to determine the angle of a vector
Master How to determine the angle of a vector
Brian McLogan
Master how to find the angle between two vectors
Master how to find the angle between two vectors
Virtually Passed
Least Squares Formula PROOF
First video: https://youtu.be/6eLJSzOHdc8 Linear least squares is a method commonly used to fit curves to data. The equation used for least squares here is derived using the column space of A. The 'best' value of X is the one that...
Flipping Physics
Equations to Memorize for AP Physics C: Electricity and Magnetism
AP Physics C: Electricity and Magnetism review of everything you need to memorize for the exam. Chapters: 0:00 Intro 0:53 Electrostatics 6:53 Gauss’s Law and Electric Flux 12:36 RC Circuits 16:03 LR Circuits 20:05 LC Circuits
Brian McLogan
Learn how to determine if two vectors are parallel, orthogonal or neither
Learn how to determine if two vectors are orthogonal, parallel or neither. You can setermine whether two vectors are parallel, orthogonal, or neither uxsing the dot/cross product or using the slope formula. Recall that two lines are...
Flipping Physics
Work Energy Theorem Example Problem
A 5.0 kg mass experiences a net force causing the object to go from an initial velocity of 4.0 i - 3.0 j m/s to a final velocity of 2.0 i + 6.0 j m/s. What is the net work acting on the mass during this event? Want Lecture Notes?...
Professor Dave Explains
Gauss’s Law for the Electric Field
Maxwell's equations are the simplest way to represent the relationship between the electromagnetic field and it's carrier particle, the photon. Simple does not necessarily mean easy though. Let's dig into what Maxwell's formulas are and...
Brian McLogan
Master how to find if two vectors are orthagonal, parallel or neither
Master how to find if two vectors are orthagonal, parallel or neither
Curated Video
Practical Data Science using Python - Introduction to Deep Learning
This video introduces you to deep learning. This clip is from the chapter "Introduction to Deep Learning" of the series "Practical Data Science Using Python".This section explains deep learning.
Flipping Physics
Conductors in Electrostatic Equilibrium - Review for AP Physics C: Electricity and Magnetism
AP Physics C: Electricity and Magnetism review of Conductors in Electrostatic Equilibrium including: defining conductors which are in electrostatic equilibrium, deriving the electric field inside the conductors, electrostatic shielding,...
Curated Video
Practical Data Science using Python - NumPy Arrays 1
This video explains the NumPy library. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Convolution Revisited
This video talks about convolution revisited. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural network...
Flipping Physics
Electric Flux
In this video, we will learn about electric flux and how it is related to the work equation for a constant force. We will also use the equation for electric flux to determine the net electric flux through the closed surface of a right...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Singular Value Decomposition (SVD)
In this video, we will cover Singular Value Decomposition (SVD). This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Why Convolution
This video explains why we need convolution. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural network...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - NonVectorized Implementations of Conv2d and Pool2d
This video helps in NonVectorized implementations of Conv2d and Pool2d. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Convolution and Pooling Details
This video showcases convolution and pooling details. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Convolution
This video demonstrates about convolution. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
Curated Video
Practical Data Science using Python - NumPy Arrays 2
This video explains returning the dot product of two arrays. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Activity- Feature Selection
In this video, we will cover activity- feature selection. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Information Theoretic Methods
In this video, we will cover information theoretic methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Implementation
In this video, we will cover PCA implementation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Kernel PCA
In this video, we will cover Kernel PCA. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...