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3Blue1Brown
How (and why) to raise e to the power of a matrix | DE6
Exponentiating matrices, and the kinds of linear differential equations this solves.
Curated Video
Introduction to Matrices
In this video we define matrices and learn how to refer to matrices
Curated Video
What is a Matrix Inverse?
In this video, we define inverse matrices and investigate some of their properties.
Curated Video
Finding a matrix inverse with row reduction
In this video, we calculate an inverse matrix using row reduction.
Curated Video
Matrix Introduction
Welcome to our comprehensive series of Advanced High School Mathematics Tutorials! This series is perfect for students, teachers, and anyone looking to deepen their understanding of higher-level mathematics. Each video breaks down...
Curated Video
Deep Learning - Crash Course 2023 - NumPy Part 1
In this video, you will learn about arrays in NumPy.
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This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick refresher on...
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This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick refresher on...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - NumPy
In this video, we will first understand how to create arrays using NumPy library.
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This clip is from the chapter "Optional Learning - Python for Data Science - with NumPy" of the series "Deep Learning - Computer Vision for...
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This clip is from the chapter "Optional Learning - Python for Data Science - with NumPy" of the series "Deep Learning - Computer Vision for...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Create Tensors in PyTorch
In this video, you will learn how to create Tensors in PyTorch.
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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...
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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...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Generating Data
In this video, we will discuss how to generate data.
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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...
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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...
Curated Video
Predictive Analytics with TensorFlow 6.3: Using BOW for Predictive Analytics
In this video, we will see how to perform a bit more complex predictive analytics using the bag-of-words concept of NLP with TensorFlow. At first, we will formalize the problem, and then will explore the dataset that will be used....
Curated Video
Practical Data Science using Python - NumPy Arrays 1
This video explains the NumPy library.<br<br/>/>
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.
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 - Mathematical Foundation: Lagrange Multipliers
In this video, we will cover Lagrange Multipliers.
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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...
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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 - Mathematical Foundation: Activity-Linear Algebra Module Python
In this video, we will cover activity-linear algebra module Python.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine...
Professor Dave Explains
Complex, Hermitian, and Unitary Matrices
Defining complex matrices, hermitian matrices, and unitary matrices.
Khan Academy
Khan Academy: Linear Algebra: Linear Transformations as Matrix Vector Products
Video first introduces the identity matrix and shows that when any vector is multiplied by the identity matrix the result is the original vector. Also shows that the columns of the identity matrix are called the standard basis for R^n....
Khan Academy
Khan Academy: Linear Algebra: Linear Transformations as Matrix Vector Products
Video first introduces the identity matrix and shows that when any vector is multiplied by the identity matrix the result is the original vector. Also shows that the columns of the identity matrix are called the standard basis for R^n....
Khan Academy
Khan Academy: Linear Algebra: Simplifying Conditions for Invertibility
A video lesson explaining that a transformation matrix is invertible if and only if it is a square identity matrix in reduced row echelon form. This video is also found in the strand Algebra: Matrices. [6:37]
Khan Academy
Khan Academy: Linear Algebra: Inverse Matrix (Part 1)
Video first explains and gives examples of identity matrices. Then explains what an inverse matrix is and shows how to calculate the inverse of a 2x2 matrix. [14:14]
Khan Academy
Khan Academy: Linear Algebra: Linear Transformations: Scaling and Reflections
Video first reviews how to find the transformation matrix using the identity matrix. Shows how to write a transformation matrix that reflects over the y-axis and scales the y-coordinates by a factor of 2. [15:13]
Sophia Learning
Sophia: Using Elementary Row Operations to Solve Systems of Equations: Lesson 1
This lesson presents how to use elementary row operations to solve for a system of linear equations. It is 1 of 4 in the series titled "Using Elementary Row Operations to Solve for Systems of Equations."
Khan Academy
Khan Academy: Simplifying Conditions for Invertibility
A video lesson explaining that a transformation matrix is invertible if and only if it is a square identity matrix in reduced row echelon form.
Khan Academy
Khan Academy: Linear Algebra: Linear Transformations: Scaling and Reflections
Video first reviews how to find the transformation matrix using the identity matrix. Shows how to write a transformation matrix that reflects over the y-axis and scales the y-coordinates by a factor of 2. [15:13]