Artificial Intelligence

artificial-intelligence

Great Reads

"Birds of a Feather Stick Together" To Produce Users-To-Items Recommendations In JavaScript

by Arthur V. Ratz

In this article, we'll discuss how to produce user-to-item recommendations by using SVD++, Pearson Correlation and probability-based similarity computation.

(AI) Sliding Puzzle Solution Analyzer

by Mehmet Mutlu

Details of my solution algorithms, implemented programs, and the results I have concluded.

.NET, TensorFlow, and the Windmills of Kaggle

by LOST_FREEMAN

Hands-on data science competition with TensorFlow on .NET

[A Simple] AI Chatbot Wizard: Create, Train and Chat

by dzzxyz

This application demonstrates how to Create, Train and Test an AI Chatbot.

Latest Articles

"Birds of a Feather Stick Together" To Produce Users-To-Items Recommendations In JavaScript

by Arthur V. Ratz

In this article, we'll discuss how to produce user-to-item recommendations by using SVD++, Pearson Correlation and probability-based similarity computation.

(AI) Sliding Puzzle Solution Analyzer

by Mehmet Mutlu

Details of my solution algorithms, implemented programs, and the results I have concluded.

.NET, TensorFlow, and the Windmills of Kaggle

by LOST_FREEMAN

Hands-on data science competition with TensorFlow on .NET

[A Simple] AI Chatbot Wizard: Create, Train and Chat

by dzzxyz

This application demonstrates how to Create, Train and Test an AI Chatbot.

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artificial-intelligence

A Look At The Growing Need For Anti-virus Software

by snorkie

This paper explores what a virus is, their evolution, and where they may be encountered today.

A* Search - An Extension of Dijkstra's Algorithm

by rtybase

A* search explained

Azure Logic Apps with AI

by Wessel Beulink

As businesses navigate the end of BizTalk and seek potent data transformation solutions, Azure Logic Apps has surged to the forefront, offering an agile, serverless platform that simplifies workflow automation.

Backpropagation Algorithm in Artificial Neural Networks

by Nikola M. Živković

Backpropagation in ANN

Build Recap

by Bill Wagner

Build recap

Common Neural Network Activation Functions

by Nikola M. Živković

Common neural network activation functions

Computer Engineering and the Hidden Neural network brain in the Arduino 101

by marcus obrien

Computer engineering and the hidden neural network brain in the Arduino 101

Creating a Turing Machine in Python – Part 3

by Philipp_Engelmann

In this part of this series, we will add some more Turing machines and extend the logging.

Data Visualization – Insights with Matplotlib

by Sandeep Mewara

A detailed look at how to deduce insights using Matplotlib with real world examples.

Deep Learning – Training an AI to Play Doom

by Philipp_Engelmann

With recent scientific advancements in Deep Learning, Artificial Intelligence and Neural Networks, as well as steadily evolving tools such as Tensorflow, Pytorch, and Keras, writing, testing and optimizing your own Neural Networks is now easier than ever before.

Function Optimization with Genetic Algorithm by using GPdotNET

by Bahrudin Hrnjica

Function optimization with genetic algorithm by using GPdotNET

Hopfield Neural Network for Character Recognition in .NET and C#

by John Newcombe

Hopfield Neural Network for Character Recognition in .NET and C#

How do Artificial Neural Networks learn?

by Nikola M. Živković

The biggest power of ANNs is that they can be familiarized with some kind of problem in the process of training and are later able to solve problems of the same class – just like humans do! But how do they do that?

How to Setup Learning Rate Per Iteration in CTNK using C#

by Bahrudin Hrnjica

How to setup learning rate per iteration in CTNK using C#

Introduction to Artificial Neural Networks

by Nikola M. Živković

Did you know that first ideas revolving around AI can be traced back to the 40's? Nevertheless, it is still a field that is in its infancy, so to say, and a concept that we still don't know a lot about.

Is software development too complex today ?

by Chris Boss

Today's development tools are becoming so complex that it makes one wonder, what has happened to software development.

K-Means Clustering Algorithm

by rtybase

This post is dedicated to K-Means Clustering Algorithm, used for unsupervised learning.

Learning React? Start Small.

by Dave Ceddia

If you are learning React, start small

Machine Learning Basics: Pocket Learning Algorithm and Basic Feature Engineering

by Shun Huang

Pocket Learning Algorithm and Basic Feature Engineering

Malware for Neural Networks: Let’s Get Hacking!

by Rob Kraft

An overview of the techniques that can be used to damage the most popular AI in use today, neural networks

Neural Network Learning by the Levenberg-Marquardt Algorithm with Bayesian Regularization (part 1)

by César de Souza

A complete explanation for the totally lost, part 1 of 2. The Levenberg–Marquardt algorithm provides a numerical solution to the problem of minimizing a (generally nonlinear) function. This article shows how the Levenberg-Marquart can be used to train Neural Networks.

Quick Look into Machine Learning Workflow

by Sandeep Mewara

A quick look into basic workflow when we apply Machine Learning to a problem

The “War Game” and Understanding Complex Application Development

by Steve Naidamast

Getting an understanding of complex app development

The Dark Arts: Game Development & the State of the Gaming Industry

by Steve Naidamast

How to develop games

Unity AI Programming Essentials–A Review

by Simon Jackson

A review of Unity AI programming essentials

Why Computers Haven't Replaced Programmers

by Paul M Watt

Why computers haven't replaced programmers