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Curated Video
Fundamentals of Neural Networks - Gradient Descent
This video explains the optimization problem using the gradient descent algorithm.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial...
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial...
Curated Video
How AI Learns to Cheat | The Challenge of Specification Gaming
How AI Learns to Cheat | The Challenge of Specification Gaming
APMonitor
Mathematical Optimization with Python
This tutorial demonstrates how to solve a simple mathematical optimization problem with four variables, one objective function, one equality constraint, and an inequality constraint. The problem is solved with the APMonitor toolbox in...
APMonitor
SciPy Beginner's Guide for Optimization
Scipy.Optimize.Minimize is demonstrated for solving a nonlinear objective function subject to general inequality and equality constraints. Source code is available at
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href='http://apmonitor.com/che263/index.php/Main/PythonOptimization'...
APMonitor
Mathematical Optimization with MATLAB
This tutorial demonstrates how to solve a simple mathematical optimization problem with four variables, one objective function, one equality constraint, and an inequality constraint. The problem is solved with the APMonitor toolbox in...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Limitations of RL
This video explains the limitations of RL.
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This clip is from the chapter "Motivation and Applications" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the motivation and...
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This clip is from the chapter "Motivation and Applications" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the motivation and...
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
Fundamentals of Machine Learning - Support Vector Machine (SVM) - Lectures
This video explains the support vector machine called SVM and its introduction.
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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...
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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...
Packt
Fundamentals of Neural Networks - Gradient Descent
This video explains the optimization problem using the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...
Curated Video
Fundamentals of Machine Learning - Multilayer Perceptron (MLP)
This video explains a lab session on neural networks and Multilayer Perceptron (MLP) models.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Vector Derivatives
In this video, we will cover vector derivatives.
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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...
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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 OER
Optimization Example 4
Sal does another optimization example, this time, minimizing the total cost of an open rectangular box. In this problem, the volume can be defined in terms of a single variable and given a cost model, he builds a cost equation. He finds...
Curated OER
Optimization with Calculus 3
Using what one learned about finding the minimum and maximum of functions, the optimization problem to find two numbers whose product is -16 and whose sum of squares is a minimum is solved. Sal starts by writing the equations and...
Khan Academy
Khan Academy: Algebra: Applying Quadratic Functions 3
Video solving an optimization application problem by finding a quadratic equation to represent the profit for a given product based on its selling price. Problem is solved by finding the selling price that gives a maximum value for the...
Khan Academy
Khan Academy: Graphing Quadratics: Applying Quadratic Functions 3
Video solving an optimization application problem by finding a quadratic equation to represent the profit for a given product based on its selling price.