Curated Video
Data Science and Machine Learning with R - Logical Operators
This video explains logical operators, This clip is from the chapter "Intermediate R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains intermediate R.
Flipping Physics
Cross Product Torque (with a Cross Product Review)
Torque as the cross product is introduced. How to actually perform the cross product using matrices is reviewed and 4.5 examples are walked through. This is an AP Physics C: Mechanics topic. Content Times: 0:00 Torque Review 0:55 Cross...
FuseSchool
MATHS - Trigonometry - Vectors
Physical properties like area, volume and temperature - are scalars, since we only need a number to represent them. But when we deal with other properties, such as velocity and acceleration, we may use both a ‘size’ and a direction. Such...
Flipping Physics
Conservation of Momentum Derivation and Rocket Demonstration
Newton’s Second Law in terms of Momentum is introduced and used to derive Conservation of Linear Momentum. A water rocket in slow motion is used to demonstrate this as well. Want Lecture Notes?...
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
Schooling Online
Physics Kinematics: Motion in a Straight Line - Algebraic Vector Addition and Subtraction
Vector Man and the police have no clue about how to interpret Lexi Luthor’s blueprints… This looks like a job for Lotus! This lesson will explain the steps needed to algebraically add and subtract 2D vectors. Definitions included:...
Virtually Passed
Relative velocity (with rotating axes) Proof
If the relative axes xy aren't rotating (w = 0) then the velocity equation becomes Va = Vb + Va/b However, in general, relative reference axes can rotate and the following relative velocity equation becomes Va = Vb + Vrel + Vp/b Note...
Curated Video
Rust Programming Master Class from Beginner to Expert - Compound Data Types - Vectors
In this video, we will cover compound data types such as vectors. This clip is from the chapter "Basic Programming" of the series "Rust Programming Master Class from Beginner to Expert".In this section, you will learn the fundamentals of...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Minibatch Gradient Descent
This video explains about the implementation of minibatch gradient descent. 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...
Curated Video
Fundamentals of Machine Learning - PCA
This video explains a lab session on Eigenfaces using PCA. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear regression, ridge regression,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Derived Features Histogram of Gradients Local Binary Patterns
In this video, we will cover derived features histogram of gradients local binary patterns. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Regression Exercise Solution
In this video, we will cover regression exercise solution. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Classification Solution
In this video, we will cover classification solution. 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,...
Curated Video
Vectors: Theory
This video shows the use of vector theory to work out the coordinates of points on a parallelogram. It also shows how to use a vector method to prove that points on a parallelogram form a straight line. Source of question: IGCSE A June...
Curated Video
Practical Data Science using Python - Principal Component Analysis - Computations 1
This video explains Principal Component Analysis – computations. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Versus SVD
In this video, we will cover PCA versus 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 Projects) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA For Small Sample Size Problems(DualPCA)
In this video, we will cover PCA for small sample size problems (DualPCA). This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Implementation Minibatch Gradient Descent
In this video, we will cover DNN implementation minibatch gradient descent. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Solution 02
In this video, we will cover ManyToMany model solution 02. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Exercise 01
In this video, we will cover ManyToMany model exercise 01. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Data Mapping
In this video, we will cover data mapping. 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 section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: Vectorizer
In this video, we will cover Vectorizer. 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 section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - TensorFlow: TensorFlow Text Classification Example using RNN
In this video, we will cover TensorFlow text classification example using RNN. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Rank
In this video, we will cover Rank. 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 this...