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Curated Video
Recommender Systems with Machine Learning - User Rating Matrix
This video talks about URM (User Rating Matrix), which is used to store the data of recommender systems.
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This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine...
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This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine...
Curated Video
Recommender Systems with Machine Learning - Section Overview
This video provides an overview of the section.<br<br/>/>
This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of recommender systems.
This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of recommender systems.
Curated Video
Recommender Systems with Machine Learning - ICM
This video talks about the ICM (Item Content Matrix) that is used to store the data of recommender systems.
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This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine...
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This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Candidate Tower and Retrieval System
In this video, you will learn how to create a candidate tower and develop a retrieval system.
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is Classification?
In this video, we will understand classification.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover...
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover...
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
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Solving Linear Systems
In this video, we will work on solving an example problem to understand linear systems.
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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...
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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...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Matrices
In this video, you will learn about matrices.
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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 the...
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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 the...
Curated Video
Othello and Race: Exploring the Matrix of Identity
This video examines the multifaceted ways in which Shakespeare's "Othello" navigates the complex matrix of race, identity, and social power. It delves into the historical and symbolic use of race and color, showing how these elements...
Curated Video
Nail Anatomy
Learn about nail anatomy with this fun educational music video nails . Brought to you by KLT.
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
Kepner Tragoe Matrix
What is the Kepner Tragoe Matrix? KM models are frameworks that help organizations effectively manage and utilize their collective knowledge and expertise.
The Business Professor
Winterling Crisis Matrix
What is the Winterling Crisis Matrix? What is the Winterling Crisis Matrix? The Interlink Crisis Matrix, or simply crisis matrix, designed by Klaus Winterling, is an analytical tool that categorizes risk along two parameters: Probability...
The Business Professor
Stacey Matrix
What is the Stacey Matrix? It is designed to help understand the factors that contribute to complexity and choose the best management actions to address different degrees of complexity.
Curated Video
Matrices and Basic Operations
This video will explain matrices and give an overview of the basic operations of using them.
Virtually Passed
2.0 A better way to understand Differential Equations | Nonlinear Dynamics | 2D Linear Diff Eqns
These second-order linear differential equations can be written in the form dx/dt = ax + by dy/dt = cx + dy Depending on the values of a,b,c and d, the dynamics will be very different! They can be characterized by finding the eigenvalues...
Virtually Passed
3.1 Linearization PROOF | Nonlinear Dynamics
Nonlinear Dynamics mini-series Part 1: • 1.0 A better way ... Part 2: • 2.0 A better way ... Part 3: • 3.0 A better way ... This video shows a formal proof behind linearization for 2D flows: dx/dt = f(x,y) dy/dt = g(x,y) Step 1: Find...
Curated Video
Introduction to Termux
A simple tool for ethical hacking is Termux. There are numerous tools for Termux available online, so we've compiled a list of the top hacking tools for Termux along with instructions on how to use each one.
Curated Video
Working in a matrixed organisation
This video discusses the concept of a matrix organization, a management structure where employees have multiple bosses and are accountable to different chains of command. It explores the benefits and challenges of this structure, and...
Curated Video
R Programming for Statistics and Data Science - Creating a Matrix in R
This video explains creating a matrix in R<br<br/>/>
This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
Curated Video
MongoDB Mastering MongoDB for Beginners (Theory and Projects) - Solution (Read Documents) - `2
In this video, let's take a look at the solution for our quiz about reading documents.
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This clip is from the chapter "Basic Read Operation" of the series "MongoDB—Mastering MongoDB for Beginners (Theory and Projects)".In this...
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This clip is from the chapter "Basic Read Operation" of the series "MongoDB—Mastering MongoDB for Beginners (Theory and Projects)".In this...
Curated Video
R Programming for Statistics and Data Science - Slicing a Matrix in R
This video explains slicing a matrix in R.<br<br/>/>
This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
Curated Video
R Programming for Statistics and Data Science - Matrix Operations in R
This video explains matrix operations in R.<br<br/>/>
This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.