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Machine Learning

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Great Reads

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

Latest Articles

by Abdulkader Helwan
In this article, we show you how to set up an Android Studio environment that is suitable for loading and running our .tflite model.
by MehreenTahir
In this article we explore how to enrich our data using a pre-trained model and trigger an Auto ML experiment from a Spark table.
by MehreenTahir
In this article we jump right into setting up an Azure Synapse workspace and Azure Synapse Studio to prepare for our machine learning analysis in the next article in the series.
by MehreenTahir
In this article we learn about how Azure Synapse Analytics and Azure Machine Learning help analyze data without extensive coding and ML experience.

All Articles

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Machine Learning 

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22 Oct 2017
Shun Huang
Machine learning is a term that people are talking about often in the software industry, and it is becoming even more popular day after day. Media is filled with many fancy machine learning related words: deep learning, OpenCV, TensorFlow, and more.
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3 Oct 2020
Sandeep Mewara
A detailed look at how to deduce insights using Matplotlib with real world examples.
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24 Nov 2017
Nikola M. Živković
Common neural network activation functions
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16 Nov 2019
Bahrudin Hrnjica
In this article, we are going to explore the main features in the new C# Juypter Notebook.
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10 Jul 2016
Simon Jackson
Technology it seems is moving ever faster and faster, especially in the world of Artificial Intelligence and Machine Learning.  Barriers to entry are breaking down and huge cloud offerings from all the major suppliers are popping up left right and center.  We see these on our devices (Siri, Cortana,
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24 Mar 2017
Rob Kraft
An overview of the techniques that can be used to damage the most popular AI in use today, neural networks
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8 May 2014
Jake Drew
Introduction The purpose of this article is to demonstrate how the practical Data Scientist can implement a Locality Sensitive Hashing system from start to finish in order to drastically reduce the search time typically required in high dimensional spaces when finding similar items.
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21 Oct 2016
marcus obrien
Computer engineering and the hidden neural network brain in the Arduino 101
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20 Jun 2017
Dave Ceddia
If you are learning React, start small
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22 Nov 2017
Bahrudin Hrnjica
How to setup learning rate per iteration in CTNK using C#
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20 Jan 2015
Jake Drew
What makes a computer blistering fast?  The answer really depends on what you want to do with it and can even be quite complex depending on your requirements.  Take for instance bitcoin mining.
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26 Nov 2015
Jon Shern
Data Analysis with Python – The Tools and the Data
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14 Nov 2017
Bahrudin Hrnjica
How to train Iris data by batch using CNTK and C#
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5 Jan 2016
Bill Wagner
In this post, I look at the areas where I will invest my time in the coming year.
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5 Dec 2019
Bahrudin Hrnjica
Predictive maintenance on .NET platform
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19 Feb 2020
Rion Williams
Transformation on numerous fronts with just a few months of exposure to Kafka technology
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15 Jan 2013
John Michael Hauck
CodeMash at the Kalahari Convention Center in Sandusky, OH, from January 8th through January 11th, 2013.
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26 Oct 2015
rahulsahay20
In this section, I am going to talk about Logic Apps available in Azure.
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11 Dec 2019
Philipp_Engelmann
Some time ago I showed you how to implement Simple Linear Regression using statistical methods. In this tutorial, we will implement the powerful Gradient descent algorithm to achieve the same goal. Instead of Rust, we are goig to use Go this time.
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21 Apr 2020
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
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4 Nov 2015
Sander Rossel
A simple introduction to set theory.
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21 Jan 2018
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?
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26 Sep 2018
Bahrudin Hrnjica
Brief Introduction to ANNdotNET ANNdotNET – is an open source project for deep learning on .NET platform (.NET Framework and .NET Core). The project is hosted at http://github.com/bhrnjica/anndotnet with more information at the https://bhrnjica.net/anndotnet.
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1 Mar 2020
Bahrudin Hrnjica
Notebook completely implemented on .NET platform using C# Jupyter Notebook and Daany
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3 Jul 2014
Jake Drew
Abstract This article provides a full demo application using both the C# and R programming languages interchangeably to rapidly identify and cluster similar images.   The demo application includes a directory with 687 screenshots of webpages.
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30 Apr 2011
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.
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18 Feb 2010
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.
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15 Nov 2017
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.
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4 Jan 2017
Seb Carss
I have always been interested in improving my knowledge in a wide variety of subjects and reading books is a …Continue reading →
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13 Nov 2017
Bahrudin Hrnjica
With this blog post, we are going to implement full C# program to train Iris data.
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1 Mar 2018
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.
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23 Jan 2018
Nikola M. Živković
In the previous article, we covered learning process of ANNs using gradient descent. However, in the last few sentences, I've mentioned that some rocks were left unturned. Specifically, explanation of backpropagation algorithm was skipped.
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16 Sep 2015
Member 11794279
Microservices with Minimum Overhead using ASP.NET Web API and Azure – Part 2 – Deployment
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18 Dec 2020
Sandeep Mewara
A quick look into basic workflow when we apply Machine Learning to a problem
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8 Aug 2012
rtybase
This post is dedicated to K-Means Clustering Algorithm, used for unsupervised learning.
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26 Feb 2018
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.
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22 Dec 2017
Philipp_Engelmann
In this part of this series, we will add some more Turing machines and extend the logging.
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12 Feb 2018
Shun Huang
In the previous article, Machine Learning Basics and Perceptron Learning Algorithm, the assumption was that the Iris Data Set trained by Perceptron Learning Algorithm is linear separable, so the number of misclassification on each training iteration eventually converge to 0.