Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Multivariate Gaussian
In this video, we will cover multivariate Gaussian.
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: Loss Function
In this video, we will cover loss function. 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: Introduction to Gradient Descent Module
In this video, we will cover an introduction to gradient descent module. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Example Setup
In this video, we will cover example setup. 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
In this video, we will cover equations. 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 - Gradient Descent in RNN: Chain Rule in Action
In this video, we will cover chain rules in action. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule
In this video, we will cover chain rules. 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 - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 5
In this video, we will cover implementation in NumPy BackwardPass 5. 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 - Gradient Descent in CNNs: Gradients of Convolutional Layer
In this video, we will cover gradients of convolutional layer. 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...
Curated Video
Learn Java Unit Testing with JUnit 5 in 20 Steps - Step 09 - Tip - Testing Exceptions with Junit
JUnit 5: Step 09 - Tip - Testing Exceptions with Junit This clip is from the chapter "JUnit 5" of the series "Learn Java Unit Testing with JUnit 5 in 20 Steps".This section firstly introduces you to the course and gives you an overview...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: LSTM
In this video, we will cover LSTM. 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 deep...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: GRU Optional
In this video, we will cover GRU Optional. 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 - Introduction to Machine Learning: Machine Learning Model Hyperparameters Exercise Solution
In this video, we will cover machine learning model hyperparameters 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...
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - Live Example in Parameterizing Job with Multiple Browser Options
This video presents a live example about parameterizing a job with multiple browser options. This clip is from the chapter "Selenium Framework Optimization and Interview Questions" of the series "Selenium WebDriver with Java - Basics to...
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - How to Parameterize Jenkin Build with the Multi Options Profile?
This video explains how to parameterize Jenkin build with the multi options profile. This clip is from the chapter "Selenium Framework Optimization and Interview Questions" of the series "Selenium WebDriver with Java - Basics to Advanced...
APMonitor
Data Science 🐍 Time Series
Time series data is produced sequentially as new measurements are recorded. Models derived from the data give insight into what happens next. They also show how the system can be changed to achieved a different future outcome. Time...
Catalyst University
Thermotherapy [Part 1] | Theory, Contraindications, and Precautions
In this full-lecture video, we discuss the theory, contraindications/precautions, specific uses, and techniques by which we can apply heat as a therapeutic modality along with any relevant associated parameters.
Curated Video
Bash Shell Scripting- Passing Parameters to a Function
This video shows how to pass parameters to a function. This clip is from the chapter "Functions" of the series "Complete Bash Shell Scripting".This section explains functions in detail.
Curated Video
Modify a data structure : Linked List and "Node" Constructor Functions
From the section: Linked Lists. This section introduces Linked Lists and "Node" constructor functions along with Big O Notation and calculating the runtime of a function Linked Lists: Linked List and "Node" Constructor Functions
Curated Video
Complete Java SE 8 Developer Bootcamp - Overriding Methods
Learn syntax and its restrictions to override methods to change the behavior that is defined in a super class. This clip is from the chapter "Inheritance" of the series "Complete Java SE 8 Developer Bootcamp".Inheritance helps to build...
Curated Video
Learn and Master C Programming - Let's Implement a Variadic Function in C - Technique #2
Here, we will see how to rely on a sentinel (magic) value to detect the end of the argument list. This clip is from the chapter "Advanced Topics" of the series "Learn and Master C Programming For Absolute Beginners!".In this section, we...
Catalyst University
Basics of Cardiac Output for Cardiophysiology
In this video, I discuss the basics of cardiac output (CO or Q) for anatomy & physiology.
Curated Video
RESTful Web API Design with Node.js (Video 10)
RESTful Web APIs allow developers to create unprecedented applications by leveraging the data on the Internet. Since JavaScript is the language of the web, building APIs using Node.js provides a seamless development experience on both...