APMonitor
Python 🐍 Curve Fit with Step Test Data
The Scipy curve_fit function determines two unknown coefficients (dead-time and time constant) to minimize the difference between predicted and measured response values. Pandas imports the data and the dataframe header is diplayed with...
APMonitor
Computational Tools for Engineers Course Overview
Welcome to ChE263 which teaches computer skills useful to engineers and scientists. It covers MATLAB, Python, Mathcad, computer programs for doing all types of math, both numerically and symbolically; Excel, a spreadsheet program; and...
Programming Electronics Academy
Function Example Three: Arduino Course 8.3
A walk through of a User Defined Function in programming.
Curated Video
Predictive Analytics with TensorFlow 9.1: Using BRNN for Image Classification
We will first provide some contextual information about RNNs. We will see how to implement a BRNN implementation example using the TensorFlow library. The example is using the MNIST database of handwriting. • Look at contextual...
Curated Video
Evaluate the impact of an AI application used in the real world. (case study) : Working with X-Ray images: Case Study - Part 6
From the section: CNN-Industry Live Project: Find Medical Abnormalities and Save Life. This section includes a CNN-Industry live project on working with X-Ray images. CNN-Industry Live Project: Find Medical Abnormalities and Save Life:...
Curated Video
Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 1
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing with Real World Natural Images: Working with...
Curated Video
Call a function : String Manipulation Functions
From the section: Intro to PHP Programming for Web Development. In this section, we’ll learn the basics of PHP programming. Intro to PHP Programming for Web Development: String Manipulation Functions
Packt
Data transmission : Physical versus logical topology
From the section: Introduction to Computer Networks (ICND1). This Section introduces Computer Networks. This includes lectures on Physical Components, Topology, Speed etc. Introduction to Computer Networks (ICND1): Physical versus...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Support Vector Machines (SVM) and Support Vector Classifiers (SVC)
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: Support Vector Machines (SVM) and Support Vector Classifiers (SVC)
Pitsco Education
Code Cube Lesson 2: Changing Lights
In this lesson, you will learn how to make your Code Cube display multiple images.
Curated Video
Java 11 Programming for Beginners 3.3: Inheritance — The Non-Taxable Kind
Showcase the heaviest concept in OOP by example. • Build a second bot by leveraging the first • Go through theory
Curated Video
Predictive Analytics with TensorFlow 5.1: Using K-means for Predictive Analytics
This video will have a brief introduction to the unsupervised machine learning technique. We will also look at k-means for predictive analytics. • Understand the concept of clustering • See how k-means work • Use k-means for predicting...
Curated Video
Predictive Analytics with TensorFlow 7.4: Deep Belief Networks
While weights of an MLP are initialized randomly, a DBN uses a greedy layer-by-layer pretraining algorithm to initialize the network weights through probabilistic generative models composed of a visible layer and multiple layers of...
Curated Video
Predictive Analytics with TensorFlow 7.2: Fine-tuning DNN Hyperparameters
First, we will see DNN performance analysis. Next, we will tune the DNN hyperparameters. • Do DNN performance analysis • Tune the DNN hyperparameters
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Naive Bayes in Action
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: [Activity] Naive Bayes in Action
Programming Electronics Academy
Serial Communication: Arduino Course 4.9
A walk through of serial communication.
Programming Electronics Academy
Variables: Arduino Course 3.3
A description of what variables are, how they are used, and a useful analogy to understanding them.
Curated Video
Learning D3.JS 5.0 2.4: Creating Circles and Ellipses
In this video, we will learn how to create circles and ellipses. • Code a circle and view it in the browser • Fix the problem with viewing only one quarter of the circle • Code an ellipse and view it correctly
Curated Video
Learning R for Data Visualization (Video 7)
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
APMonitor
Python 🐍 Solve Nonlinear Equations with fsolve
This tutorial is an introduction to solving nonlinear equations with Python. The solution to linear equations is through matrix operations while sets of nonlinear equations require a solver such as Scipy optimize fsolve to numerically...
Pitsco Education
Code Cube Lesson 3: Turn that Frown Upside Down
In this lesson, you will learn how to make your Code Cube display different images based on which direction it is facing.
Programming Electronics Academy
Hardware Overview: Arduino Course 2.6
A look at the Arduino circuit board and its prominent features.
Curated Video
Tips, Tricks, and Techniques for Node.js Development 5.2: Creating a Child Process
In this video, we will learn how to execute code in a child process. • Show the different ways of creating a child process • Create a child.js script • Show communication between child processes
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 http://apmonitor.com/che263/index.php/Main/PythonOptimization...