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
Solve Nonlinear Equations with Excel
Microsoft Excel is used to solve a set of nonlinear equations with the Excel solver add-in.
Curated Video
Discuss the importance of data : Classification tree in Python: Preprocessing
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
Create a machine learning model of a real-life process or object : Implementing a Multi Layer Perceptron (Artificial Neural Network)
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
Describe a neural network : Neural Network for Multiclass Classifications
From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary Classifications,...
APMonitor
Solve Nonlinear Equations with Microsoft Excel
The GRG (Generalized Reduced Gradient) solver in Excel can be used to solve sets of nonlinear equations. The nonlinear functions are input as cells and equation residuals are minimized. Functions can either be included as equality...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Logistic Regression
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....
APMonitor
Analyze Stock Data with Microsoft Excel
Visualization of data is a powerful method to see trends and make decisions. Microsoft Excel trending capabilities are tools to visualize large data sets, such as financial information on company performance.
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Logistic 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
Describe the applications of artificial intelligence systems : What is Machine Learning?
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:...
Paul Marriott
Programming 3 LEDs w/Tinkercad Circuits (Web-Based Arduino Simulator)
Using Autodesk's free Tinkercad Circuits online web app you can build and code a virtual Arduino circuit with 3 LEDs, resistors, Arduino Uno microcontroller and a half breadboard. Block-based coding tools are also provided. This is a...
Curated Video
Ensemble Machine Learning Techniques 2.5: Ensemble Learning for Regression
In this video, we will use python to write a simple ensemble learning model for Regression. • We will use Jupyter Notebook to execute our code • Use of Height vs weight to demonstrate the ensemble technique • Use different models instead...
Curated Video
Predictive Analytics with TensorFlow 6.4: TF-IDF Model for Predictive analytics
TF-IDF measures how important a word is in a document or in a collection of documents. It is used extensively in informational retrieval and reflects the weight of the word in the document, frequency and the inverse document frequency. •...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : What is Machine Learning?
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....
Programming Electronics Academy
Functions Overview: Arduino Course 3.5
An overview of what programming functions are and how they work.
Curated Video
Discuss the importance of data : The Data set for Classification problem
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 a neural network : Neural Network for Regression
From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary Classifications,...
APMonitor
Nonlinear Regression in MATLAB
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the MATLAB APMonitor toolbox. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared...
Packt
Define artificial intelligence : AI, Machine Learning, Deep Learning Overview
From the section: Introduction. In this section, the learner will be introduced to the environment and working of Keras and how to set it up to go coding. A very brief introduction along with an illustration will be given to deep...
Packt
Develop an AI system to solve a real-world problem : Building Artificial Neural Networks
From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be applied...
Curated Video
Implement logical operations in a computer program : Logical Operators
From the section: Basics. In this section, we look into comments, variables and its types, list, tuples, dictionary, various operators, and loops in details. Logical operators are typically used with Boolean (logical) values. When they...
Curated Video
Describe computer programming : Basics of Python
From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them. This video will walk you an overview about the Python. • Go to the Python.org...
APMonitor
MATLAB Nonlinear Optimization with fmincon
This step-by-step tutorial demonstrates fmincon solver on a nonlinear optimization problem with one equality and one inequality constraint. Visit http://apmonitor.com/che263/index.php/Main/MatlabOptimization for source code.
Curated Video
Evaluate a machine learning model : Evaluate Model Performance
From the section: Regression. In this section, you are going to learn about Regression. Regression: Evaluate Model Performance