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Great Reads

by Thomas Weller
Demonstrates how to run Python scripts from C#
by Andy Allinger
Add features to k-means for missing data, mixed data, and choosing the number of clusters
by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.

Latest Articles

by Nicolas DESCARTES
How to implement neural networks in C#?
by Nicolas DESCARTES
How to implement logistic regression in ML.NET?
by Nicolas DESCARTES
What clustering algorithm should be selected for the clustering task?

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Machine Learning 

3 Oct 2020 by Sandeep Mewara
A detailed look at how to deduce insights using Matplotlib with real world examples.
24 Nov 2017 by Nikola M. Živković
Common neural network activation functions
16 Nov 2019 by Bahrudin Hrnjica
In this article, we are going to explore the main features in the new C# Juypter Notebook.
24 Mar 2017 by Rob Kraft
An overview of the techniques that can be used to damage the most popular AI in use today, neural networks
10 Jul 2016 by Simon Jackson
How to build apps using Microsoft Cognitive Services
21 Oct 2016 by marcus obrien
Computer engineering and the hidden neural network brain in the Arduino 101
20 Jun 2017 by Dave Ceddia
If you are learning React, start small
8 May 2014 by Jake Drew
Locality Sensitive Hashing for Unstructured Data
22 Nov 2017 by Bahrudin Hrnjica
How to setup learning rate per iteration in CTNK using C#
26 Nov 2015 by Jon Shern
Data Analysis with Python – The Tools and the Data
14 Nov 2017 by Bahrudin Hrnjica
How to train Iris data by batch using CNTK and C#
5 Jan 2016 by Bill Wagner
In this post, I look at the areas where I will invest my time in the coming year.
5 Dec 2019 by Bahrudin Hrnjica
Predictive maintenance on .NET platform
19 Feb 2020 by Rion Williams
Transformation on numerous fronts with just a few months of exposure to Kafka technology
17 Jul 2023 by rtybase
Discussion of linear regression
15 Jan 2013 by John Michael Hauck
CodeMash at the Kalahari Convention Center in Sandusky, OH, from January 8th through January 11th, 2013.
26 Oct 2015 by rahulsahay20
In this section, I am going to talk about Logic Apps available in Azure.
11 Dec 2019 by Philipp_Engelmann
How to implement Gradient Descent in Go
21 Apr 2020 by Kevin Mack
Some resources to help with Artificial Intelligence in Azure if you are looking for some demos to show the “art of the possible” or tools to start
21 Jan 2018 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?
26 Sep 2018 by Bahrudin Hrnjica
Visual Neural Network Designer in ANNdotNET
1 Mar 2020 by Bahrudin Hrnjica
Notebook completely implemented on .NET platform using C# Jupyter Notebook and Daany
3 Jul 2014 by Jake Drew
Full demo app using both C# and R interchangeably to rapidly identify and cluster similar images
30 Apr 2011 by Ali Tarhini
Efficient Face Detection Algorithm using Viola Jones method Introduction Object detection is detecting a specified object class such as cars, faces, plates ext.
18 Feb 2010 by César de Souza
The ROC curve was developed by electrical and radar system engineers during World War II to detect enemy objects in enemy fields. The ROC analysis has been used in medicine, radiology, psychology and other areas for many decades. More recently, it has been introduced to machine learning.
15 Nov 2017 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.
13 Nov 2017 by Bahrudin Hrnjica
With this blog post, we are going to implement full C# program to train Iris data.
1 Mar 2018 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.
16 Sep 2015 by Member 11794279
Microservices with Minimum Overhead using ASP.NET Web API and Azure – Part 2 – Deployment
18 Dec 2020 by Sandeep Mewara
A quick look into basic workflow when we apply Machine Learning to a problem
11 Mar 2014 by Jake Drew
ML methods using bootstrap samples and parallel processing to model very large volumes of data in short periods of time
8 Aug 2012 by rtybase
This post is dedicated to K-Means Clustering Algorithm, used for unsupervised learning.
26 Feb 2018 by Nikola M. Živković
Have you ever wondered how Facebook knows how to suggest the right friend to tag? Speaking of it, how does the Google’s image search algorithm work? Yes, you are right, there is a neural network involved in all those tasks.
22 Dec 2017 by Philipp_Engelmann
In this part of this series, we will add some more Turing machines and extend the logging.