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Using Python Scripts from a C# Client (Including Plots and Images)
by Thomas Weller
Demonstrates how to run Python scripts from C#
Intermediate Data Clustering with k-means
by Andy Allinger
Add features to k-means for missing data, mixed data, and choosing the number of clusters
A Look into the Future - Source Code Generation by the Bots
by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
ANNT : Convolutional neural networks
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.

Latest Articles

A Step-by-Step Guide to Building and Distributing a Sleek RAG Pipeline
by Jozu MLOps
In this article, we build a Retrieval-Augmented Generation (RAG) pipeline using KitOps, integrating tools like ChromaDB for embeddings, Llama 3 for language models, and SentenceTransformer for embedding models.
Machine Learning for C++ developers - the hard way: DirectML
by Michael Chourdakis
An introduction to machine learning with working C++ code that trains a linear regression model.
Truly Understanding Neural Networks through their Implementation in C#
by Nicolas DESCARTES
How to implement neural networks in C#?
Truly Understanding Decision Trees and the C4.5 Algorithm through their Implementation in C#
by Nicolas DESCARTES
How to implement decision trees in C#?

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Machine Learning 

Data Visualization – Insights with Matplotlib
3 Oct 2020 by Sandeep Mewara
A detailed look at how to deduce insights using Matplotlib with real world examples.
Python
artificial-intelligence
machine-learning
Common Neural Network Activation Functions
24 Nov 2017 by Nikola M. Živković
Common neural network activation functions
artificial-intelligence
machine-learning
neural-network
C# Jupyter Notebook
16 Nov 2019 by Bahrudin Hrnjica
In this article, we are going to explore the main features in the new C# Juypter Notebook.
Python
LaTeX
Markdown
C#
.NET
ML.Net
DataFrame
machine-learning
Malware for Neural Networks: Let’s Get Hacking!
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
artificial-intelligence
machine-learning
neural-network
Injecting Intelligence – Building Apps using Microsoft Cognitive Services
10 Jul 2016 by Simon Jackson
How to build apps using Microsoft Cognitive Services
machine-learning
Computer Engineering and the Hidden Neural network brain in the Arduino 101
21 Oct 2016 by marcus obrien
Computer engineering and the hidden neural network brain in the Arduino 101
artificial-intelligence
neural-network
machine-learning
microcontroller
Learning React? Start Small.
20 Jun 2017 by Dave Ceddia
If you are learning React, start small
artificial-intelligence
machine-learning
neural-network
Practical Applications of Locality Sensitive Hashing for Unstructured Data
8 May 2014 by Jake Drew
Locality Sensitive Hashing for Unstructured Data
machine-learning
How to Setup Learning Rate Per Iteration in CTNK using C#
22 Nov 2017 by Bahrudin Hrnjica
How to setup learning rate per iteration in CTNK using C#
C#
artificial-intelligence
machine-learning
neural-network
Data Analysis with Python – The Tools and the Data
26 Nov 2015 by Jon Shern
Data Analysis with Python – The Tools and the Data
All-Topics
machine-learning
Build Recap
3 Apr 2016 by Bill Wagner
Train Iris Data by Batch using CNTK and C#
14 Nov 2017 by Bahrudin Hrnjica
How to train Iris data by batch using CNTK and C#
C#
.NET
CNTK
machine-learning
2016: A Look Forward
5 Jan 2016 by Bill Wagner
In this post, I look at the areas where I will invest my time in the coming year.
All-Topics
docker
machine-learning
Predictive Maintenance on .NET Platform
5 Dec 2019 by Bahrudin Hrnjica
Predictive maintenance on .NET platform
C#
.NET
ML.Net
Azure
engineering
Daany
machine-learning
The Other Kafka's Metamorphosis
19 Feb 2020 by Rion Williams
Transformation on numerous fronts with just a few months of exposure to Kafka technology
Elasticsearch
engineering
machine-learning
Linear Regression
17 Jul 2023 by rtybase
Discussion of linear regression
machine-learning
mathematics
CodeMash 2013
15 Jan 2013 by John Michael Hauck
CodeMash at the Kalahari Convention Center in Sandusky, OH, from January 8th through January 11th, 2013.
CUDA
Dev
machine-learning
Getting Live Data from Twitter and Storing in Azure Blob Storage
26 Oct 2015 by rahulsahay20
In this section, I am going to talk about Logic Apps available in Azure.
All-Topics
machine-learning
Implementing Gradient Descent in Go
11 Dec 2019 by Philipp_Engelmann
How to implement Gradient Descent in Go
Go
machine-learning
algorithm
AI / Analytics Tools in Azure
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
Python
Ubuntu
Azure
machine-learning
surface
virtual-machine
How do Artificial Neural Networks learn?
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?
artificial-intelligence
machine-learning
neural-network
Visual Neural Network Designer in ANNdotNET
26 Sep 2018 by Bahrudin Hrnjica
Visual Neural Network Designer in ANNdotNET
Python
.NET-Core
.NET
COM
machine-learning
GPU
Building Predictive Maintenance Model Using ML.NET
1 Mar 2020 by Bahrudin Hrnjica
Notebook completely implemented on .NET platform using C# Jupyter Notebook and Daany
C#
.NET
ML.Net
Daany
DataFrame
machine-learning
Clustering Similar Images using MapReduce Style Feature Extraction with C# and R
3 Jul 2014 by Jake Drew
Full demo app using both C# and R interchangeably to rapidly identify and cluster similar images
R
C#
machine-learning
Efficient Face Detection Algorithm using Viola Jones method
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.
All-Topics
machine-learning
Discriminatory Power Analysis by Receiver-Operating Characteristic Curves (Part 1 of 2: Theory)
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.
C#
.NET
All-Topics
machine-learning
Introduction to Artificial Neural Networks
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.
artificial-intelligence
machine-learning
neural-network
Train Iris Data with MinibatchSource using CNTK and C#
13 Nov 2017 by Bahrudin Hrnjica
With this blog post, we are going to implement full C# program to train Iris data.
C#
.NET
machine-learning
Deep Learning – Training an AI to Play Doom
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.
Python
artificial-intelligence
neural-network
machine-learning
deep-learning
algorithm
Backpropagation Algorithm in Artificial Neural Networks
23 Jan 2018 by Nikola M. Živković
Microservices with Minimum Overhead using ASP.NET Web API and Azure – Part 2 – Deployment
16 Sep 2015 by Member 11794279
Microservices with Minimum Overhead using ASP.NET Web API and Azure – Part 2 – Deployment
Azure
ASP.NET
machine-learning
Quick Look into Machine Learning Workflow
18 Dec 2020 by Sandeep Mewara
A quick look into basic workflow when we apply Machine Learning to a problem
Python
artificial-intelligence
machine-learning
data
Machine Learning in Parallel with Support Vector Machines, Generalized Linear Models, and Adaptive Boosting
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
machine-learning
parallel
K-Means Clustering Algorithm
8 Aug 2012 by rtybase
This post is dedicated to K-Means Clustering Algorithm, used for unsupervised learning.
artificial-intelligence
machine-learning
algorithm
Introduction to Convolutional Neural Networks
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.
machine-learning
neural-network
Creating a Turing Machine in Python – Part 3
22 Dec 2017 by Philipp_Engelmann
In this part of this series, we will add some more Turing machines and extend the logging.
artificial-intelligence
machine-learning
neural-network
Machine Learning Basics: Pocket Learning Algorithm and Basic Feature Engineering
12 Feb 2018 by Shun Huang
Pocket Learning Algorithm and Basic Feature Engineering
artificial-intelligence
machine-learning
neural-network


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