Curated Video
I WONDER - What Industries Can AI Help?
This video is answering the question of what industries can AI help.
Curated Video
Secure coding control
In this video, we will be discussing the importance of secure coding control. With the increasing number of cyber attacks and data breaches, it is crucial for developers to implement secure coding practices to protect sensitive...
APMonitor
Find Equation Roots with Excel
Two examples show how to (1) find the roots of a cubic equation and (2) find the roots of the Redlich Kwong equation of state that relates pressure and temperature to molar volume for read gasses.
APMonitor
Solve Linear Equations with Python
Linear equations such as A*x=b are solved with NumPy in Python. This tutorial demonstrates how to create a matrix (A) and vector (b) as NumPy arrays and solve the set of equations with linalg.solve
Curated Video
Predictive Analytics with TensorFlow 1.4: Vectors, Matrices, and Graphs
We will discuss vectors, metrics, and tensors, which are some fundamental topics for learning predictive analytics. • Understand vectors and matrices • Find transpose of matrix
Curated Video
Predictive Analytics with TensorFlow 4.2: From Disaster to Decision –Titanic Example Revisited
In this video, we will see how we could develop several predictive models for Titanic survival prediction and do some analytics using them. In particular, we will discuss logistic regression, random forest, and linear SVM. We start with...
APMonitor
Nonlinear Regression in Python
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the Python APMonitor package. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared...
APMonitor
MathCAD Functions and Matrices
Mathcad is a tool to arrange, calculate, and visualize engineering calculations and functions can help with reusing expressions in subsequent evaluations. Use the following worksheets to step through example problems related to using...
Curated Video
Predictive Analytics with TensorFlow 4.1: Supervised Learning for Predictive Analytics
In this video, we will see a type of machine learning process that is supervised learning. We will also see linear regression. We will use it for movie rating prediction. • See the spam filtering example • Use linear regression for movie...
APMonitor
Curve Fit with Excel and Python
Nonlinear regression with heart rate data is shown in both Microsoft Excel and Python. GEKKO and SciPy curve_fit are used as two alternatives in Python. Heart rate data is available at...
APMonitor
Fit Nonlinear Model to Data with Excel
Microsoft Excel adjusts parameters to minimize the difference between measured and predicted values. This tutorial demonstrates how to calculate the sum of squared errors and minimize error with the Solver add-in. See...
Curated Video
Evaluate the accuracy of an artificial intelligence system : Pointers on Evaluating the Accuracy of Classification Modelling
From the section: Supervised Learning: Classification. In this section, the author talks about kNN- Classification, Naive Bayes Classification, SVM- Linear and Non-Linear Classification and also Gradient Boosting Machine (GBM)....
APMonitor
Simulate Differential Equations with Python ODEINT
The heights of a dual gravity drained tank are solved with the Scipy.integrate function ODEINT. This example demonstrates how to solve the differential equation and plot the solution.
Curated Video
Create a machine learning model of a real-life process or object : Implementing a Simple Linear Regression Algorithm
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Discuss the importance of data : Advantages and Disadvantages of Decision Trees
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Paul Marriott
Getting Started witrh Tinkercad Circuits (Arduino Simulator)
If you don't have your own physical Arduino components you can always use Autodesk's free Tinkercad Circuits app, which has and simulates many of the basic Arduino components. The app also supports a built-in block-based coding feature...
Curated Video
Describe the applications of artificial intelligence systems : Types and Applications of ML
From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...
APMonitor
Numpy and Loops in Python
This introductory homework assignment solution covers Numpy and loops (for and while) in Python. The example problems use simple vectors and matrices, reshaping, index referencing, initialization, dot product, cross product, matrix...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Linear Regression in Action
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Create a machine learning model of a real-life process or object : Getting Started with TensorFlow 2.0
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Discuss the importance of data : Classification tree in Python: Training
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Curated Video
Describe the applications of artificial intelligence systems : Essential Math for ML and AI
From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...
Curated Video
Predictive Analytics with TensorFlow 1.1: The Course Overview
This video will give you an overview about the course.