Instructional Video1:06
The Business Professor

Conversion Rate Optimization

Higher Ed
Explanation of Conversion Rate Optimization
Instructional Video8:04
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Limitations of RL

Higher Ed
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...
Instructional Video13:02
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Optimization

Higher Ed
In this video, we will cover optimization.
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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 to Z".In this section, we...
Instructional Video5:19
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Underfitting vs Overfitting

Higher Ed
In this video, we will understand two different types of optimizations, which are underfitting and overfitting.
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This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners...
Instructional Video3:45
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Introduction to Course

Higher Ed
In this video, we will get introduced to course learning objectives.
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This clip is from the chapter "Introduction" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".Welcome to the course. In this...
Instructional Video9:12
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Contour Plot

Higher Ed
In this video, we will cover Matplotlib contour plot.
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This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video5:53
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Vector Derivatives

Higher Ed
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...
Instructional Video3:55
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Introduction to Mathematical Foundation of Feature Selection

Higher Ed
In this video, we will cover an introduction to mathematical foundation of feature selection.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data...
Instructional Video4:36
APMonitor

Solve Linear Equations with Excel

10th - Higher Ed
Excel MMULT and MINVERSE functions are used to solve systems of linear equations such as A * x = b by inverting A and multiplying by the right hand side (x = A^-1 * b).
Instructional Video7:48
APMonitor

Solve Linear Equations with MATLAB

10th - Higher Ed
MATLAB is used to solve a set of linear equations (Ax=b) by inverting the matrix A and multiplying by the b vector. Three ways to solve A*x=b are:

x = inv(A)*b %
good
x = A\b
% better
x = linsol
SeeA,b) %...
Instructional Video9:33
Curated Video

High Performance Scientific Computing with C 1.2: Introduction – Why Use Computers for Math?

Higher Ed
Why is the history of computation so tied with mathematics? How are computers used today to solve mathematical problems?

• Understand the need for computers to solve mathematical pro
blems
• Understand the problems for which...
Instructional Video7:49
APMonitor

Python Basic Statistical Analysis

10th - Higher Ed
Python statistical functions such as average, maximum, minimum, standard deviation, and custom counting are demonstrated in an iPython notebook.
Instructional Video21:01
APMonitor

Data Analysis with Python for Excel Users

10th - Higher Ed
A common task for scientists and engineers is to analyze data from an external source. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant...
Instructional Video10:25
APMonitor

Raoult's Law Vapor Liquid Equilibrium Solved with Excel

10th - Higher Ed
Microsoft Excel is used to calculate the liquid mole fraction and temperature of a mixture, using Raoult's law for vapor-liquid equilibrium. Excel solver is used to solve for 2 equations and 2 unknowns.
Instructional Video9:17
APMonitor

Generate Poisson Distribution and Histogram in Excel

10th - Higher Ed
Powerful statistical analysis tools are available in the Excel is add-in data analysis package. This is an example of generating a randomly sampled Poisson distribution (1000 values) and plotting the frequency of the result.
Instructional Video5:12
APMonitor

Euler's Method for ODEs in Excel

10th - Higher Ed
Euler's method can be used to simulate and optimize differential equations in Excel. This tutorial demonstrates the steps to set up the simulation and then match the response to data.
Instructional Video8:07
APMonitor

Microsoft Excel Solver for Engineering Optimization

10th - Higher Ed
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.
Instructional Video3:40
APMonitor

Arduino TCLab for Engineering Education

10th - Higher Ed
The Temperature Control Lab is a plug-and-play Arduino device to teach programming, heat transfer, machine learning, data science, process dynamics, and control with real data. Two heaters and an LED are adjusted...
Instructional Video18:41
APMonitor

Introduction to Python Classes

10th - Higher Ed
Python classes are collections of variables and functions. Instances of the class can be initialized and customized to store properties, data, or use methods that belong to the class and instance. The tutorial concludes with an example...
Instructional Video15:32
APMonitor

Loops in Python

10th - Higher Ed
Loops such as "for" and "while" in Python are blocks of code that repeat a sequence of commands. They can be repeated a set number of times or repeatedly until a condition is met. The individual loop cycle can be skipped with a continue...
Instructional Video
Khan Academy

Khan Academy: Optimization With Calculus: Minimizing Sum of Squares

9th - 10th
This video shows how to minimize the sum of of squares of two numbers given their product.
Instructional Video
Khan Academy

Khan Academy: Optimization With Calculus: Minimizing Combined Area

9th - 10th
In this video using Calculus it shows how to find the cost for the material for the cheapest container.
Instructional Video
Khan Academy

Khan Academy: Expression for Combined Area of Triangle and Square

9th - 10th
This video shows how to cut the wire to minimize the area of the combined triangle and square.
Instructional Video
Khan Academy

Khan Academy: Optimization With Calculus: Optimizing Box Volume Graphically

9th - 10th
This video lesson shows how to maximize the volume of a box.