The Business Professor
Competition Profile Matrix
The profile matrix identifies a firm's key competitors and compares them using industry's critical success factors.
The Business Professor
Internal and External Factor Evaluation Matrix
The IFE is focused on the internal dimension of the organization by looking at the strengths and weaknesses. While the EFE is concerned with the external factors by focusing on the opportunities and threats the organization is exposed to.
The Business Professor
GE McKinsey Matrix
McKinsey's GE Matrix is a visual tool designed to help portfolio managers determine resource allocation for multi-business portfolios.
The Business Professor
BCG Growth Share Matrix
The growth share matrix is, put simply, a portfolio management framework that helps companies decide how to prioritize their different businesses.
Curated Video
How to Build a RACI Chart
The RACI Chart is one of the most important Project Tools. You will sometimes hear the terms RACI Matrix, Responsibility Matrix, or Linear Responsibility Chart (LRC). Let’s look at how to build one! In the video, I discuss the...
Science ABC
Do bones decompose? How long does it take for bones to decompose?
Ever wonder why bones can survive hundreds of years without decomposing? This is due to the unique composition of bone. Bone is primarily composed of a very stable protein called collagen and the mineral calcium. The association between...
Curated Video
Mastering Focus: Strategies to Overcome Attention Deficits
Struggling to stay focused and productive? Our video "Strategies to Deal with Attention Deficits" offers practical solutions to help you improve your attention and tackle distractions head-on. Join John from OnwardWell as he guides you...
Curated Video
Osteocyte
A type of bone cell. A Twig Science Glossary Film. Key scientific terms defined in just 60 seconds using stunning images and concise textual definitions. Twig Science Glossary Films reinforce abstract concepts and key curriculum vocabulary.
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
Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Image Classification (Theory)
In this video, we will understand how to apply RNN for image classification. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural Networks with...
Curated Video
Fundamentals of Neural Networks - Lab 2 - Introduction to TensorFlow — Remove the Throat-Clearing Sound in the Start of the Video
This video demonstrates some basic operations in TensorFlow such as objects and we will apply some mathematical operations to the Tensor objects. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
Curated Video
Fundamentals of Neural Networks - Language Processing
NLP is a tool for structuring data in a way that AI systems can process that deals with language. NLP uses AI to 'read' through a document and extract key information. This clip is from the chapter "Recurrent Neural Networks" of the...
Curated Video
Fundamentals of Neural Networks - Stride
For a convolutional or pooling operation, the stride denotes the number of pixels by which the window moves after each operation. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural...
Curated Video
Fundamentals of Neural Networks - Padding
This video explains padding in convolutional neural networks. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
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
Fundamentals of Neural Networks - Tensor and Matrix
This video explains what we mean by Tensor and Matrix. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start...
Curated Video
Fundamentals of Neural Networks - Image Data
This video explains image data in CNN (Convolutional Neural Network). This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where...
Curated Video
Building Microservices API in Go - Auth Server: Verify API
In this video, we will introduce a middleware component for verifying API authorization using the token. We will cover best practices for implementing token-based authentication and authorization in our application, ensuring the security...
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
Learn Java from Scratch - A Beginner's Guide - Step 09 - Exploring Spring Boot Actuator
In this video, we will explore a few more Spring Boot features.
Curated Video
Deep Learning - Crash Course 2023 - Training Evaluation
In this video, we will evaluate the performance of the trained neural network using various performance metrics and techniques. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course...
Curated Video
Deep Learning - Crash Course 2023 - Models
In this video, we will briefly cover models in deep learning. This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will learn some basic terms used in deep learning.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: KNN Implementation
In this lesson, you will learn how to implement the k-nearest neighbor algorithm in machine learning.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: tf-idf Matrix
In this video, you will learn to make the recommendation engine using the tf-idf matrix.