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Curated Video
Fundamentals of Machine Learning - Unsupervised Learning
This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - OPTIONAL Section- Mathematics Wrap-Up: Mathematical Wrap-Up on Machine Learning
In this video, we will cover mathematical wrap-up on machine learning.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A...
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A...
Curated Video
Fundamentals of Machine Learning - Model Selection
This video explains model selection and regularization.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Encoder Decoder Networks for Dimensionality Reduction Versus Kernel PCA
In this video, we will cover encoder decoder networks for dimensionality reduction versus Kernel PCA.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Weights Initializations
In this video, we will cover DNN weights initializations.
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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 Z".In...
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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 Z".In...
Brian McLogan
Linear Programming problem learn how to solve
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints....
Brian McLogan
Maximizing the objective function using linear programming
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints....
Brian McLogan
How to solve a word problem for linear programming
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints....
APMonitor
Microsoft Excel Solver for Engineering Optimization
Excel Solver is a powerful tool for engineering optimization. This tutorial shows how to solve a simple benchmark problem with an objective function, inequality constraint, and an equality constraint.
Curated OER
What is Linear Programming?
This video doesnÕt actually show you how to solve a linear programming problem, but it does define the different pieces involved in linear programming. This video would make a good introduction, and the problem presented can be solved...