3Blue1Brown
Three-dimensional linear transformations: Essence of Linear Algebra - Part 5 of 15
How to think of 3x3 matrices as transforming 3d space
3Blue1Brown
Essence of linear algebra preview
The introduction to a series on visualizing core ideas of linear algebra.
3Blue1Brown
Essence of Linear Algebra: Preview
The introduction to a series on visualizing core ideas of linear algebra.
3Blue1Brown
Matrix multiplication as composition | Essence of linear algebra, chapter 4
How to think about matrix multiplication visually as successively applying two different linear transformations.
3Blue1Brown
Three-dimensional linear transformations | Essence of linear algebra, footnote
How to think of 3x3 matrices as transforming 3d space
3Blue1Brown
Three-dimensional linear transformations | Essence of linear algebra, chapter 5
How to think of 3x3 matrices as transforming 3d space
3Blue1Brown
Matrix multiplication as composition: Essence of Linear Algebra - Part 4 of 15
How to think about matrix multiplication visually as successively applying two different linear transformations.
Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - Embeddings
In this video, we will understand what embedding is. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this section, we will talk about Natural...
Curated Video
Fundamentals of Neural Networks - Convolutional Operation
The Convolution layer (CONV) uses filters that perform convolution operations as it is scanning the input with respect to its dimensions. Its hyperparameters include the filter size and stride. The resulting output is called a feature...
Curated Video
Introduction to FinTech Using R - First Course in Asset Pricing
In this video, we will look at how to create an ASP.NET Core API project with Visual Studio 2022 using an ASP.NET Core web API template. This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech Using R".This...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - NumPy in PyTorch
In this video, you will learn how to convert a NumPy array in PyTorch. This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive into...
Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - Embeddings
In this video, we will understand the text as sequence data. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, you will learn...
Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - Convolution on Color Images
In this video, we will understand convolution on color images. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we will...
Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - What Is Convolution? (Part 3)
In this video, you will learn how to view convolution as matrix multiplication. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - What Is Convolution? (Part 2)
In this video, we will look at a new perspective on convolution to understand how it works. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - NumPy Exercise
In this video, we will look at the NumPy exercise that must be resolved on our own. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course,...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Matrices
In this video, you will learn about matrices. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world of NumPy,...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - NumPy Section Introduction
In this video, we will have a quick overview of NumPy. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world...
Curated Video
R Programming for Statistics and Data Science - Matrix Arithmetic
This video explains matrix arithmetic. This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
Zach Star
The applications of eigenvectors and eigenvalues - That thing you heard in Endgame has other uses
This video covers the applications of eigenvectors and eigenvalues (in and outside of mathematics) that I definitely didn't learn in school.
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding.
From the section: Deep Learning and Tensorflow: Part 1. In this section, we’ll talk about what Deep Learning is, and how TensorFlow works at a low level. Deep Learning and Tensorflow: Part 1: Building Deep Neural Networks with Keras,...
TMW Media
Multiplying Matrices
This program covers the very important topic of solving systems of equations using matrix inverses. We use the skills previously learned in calculating the inverse of a matrix and apply it to solving a system of algebraic equations. We...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Building Machine Learning Model from Scratch: Linear Regression from Scratch- Part 1
In this video, we will cover linear regression from scratch- part 1. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...