Curated Video
AWS Cloud Development Kit - From Beginner to Professional - CloudWatch Live Dashboards and Widgets
This video explains CloudWatch live dashboards and widgets. This clip is from the chapter "Create and Deploy Serverless Application Resources" of the series "AWS Cloud Development Kit - From Beginner to Professional".In this section, you...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - NumPy for Numerical Data Processing: Slicing-Part 2
In this video, we will cover slicing-part 2. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 3
This is third of the five-part video on implementation in NumPy BackwardPass. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Why Activation Function Is Required
This video explains why activation function is required in DNN. 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Gradient Step
This video explains about the implementation of the gradient step. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Why Activation Function Is Required
In this video, we will understand why activation function is required. 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 Implementation: Language Modelling Next Word Prediction Python 3
In this video, we will cover language modelling next word prediction Python 3. 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 - Python for Data Science: NumPy Pandas and Matplotlib (Part 2)
In this video, we will cover NumPy Pandas and Matplotlib (part 2).
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: RGB Images
In this video, we will cover RGB images. This clip is from the chapter "Deep learning: Convolutional 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
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients
In this video, we will understand why gradients. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations Exercise
In this video, we will cover equations exercise. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 3
In this video, we will cover implementation in NumPy BackwardPass 3. This clip is from the chapter "Deep learning: Convolutional 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 - Seaborn for Data Visualization: Seaborn Heatmaps
In this video, we will cover Seaborn Heatmaps. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization 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 - Mathematical Foundation: Lagrange Multipliers
In this video, we will cover Lagrange Multipliers. 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 - Mathematical Foundation: Positive Semi Definite Matrix
In this video, we will cover a positive semi definite matrix. 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: Introduction to Mathematical Foundation of Feature Selection
In this video, we will cover an introduction to mathematical foundation of feature selection. 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 - Mathematical Foundation: Activity-Linear Algebra Module Python
In this video, we will cover activity-linear algebra module Python. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...
Zach Star
Dear linear algebra students, This is what matrices (and matrix manipulation) really look like
Dear linear algebra students, This is what matrices (and matrix manipulation) really look like
APMonitor
Solve Linear Equations with MATLAB
MATLAB is used to solve a set of linear equations (Ax=b) by inverting the matrix A and multiplying by the b vector. Three ways to solve A*x=b are: x = inv(A)*b % good x = A\b % better x = linsolve(A,b) % best See...
msvgo
Transpose of a Matrix
It defines the transpose of a matrix. Further it states properties of transpose of a matrix.
msvgo
Symmetric and Skew Symmetric Matrices
It defines symmetric and skew symmetric matrices and states important theorems based on it.
Professor Dave Explains
Types of Matrices and Matrix Addition
An overview of the types of matrices and how to perform matrix addition.