Machine Learning

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Great Reads

Using Microsoft Azure IoT Suite with Intel® IoT Devices and Gateways

by Intel

This article provides general guidelines for connecting any Intel Internet of Things (IoT) devices (that is, devices that support Intel microcontrollers like the Intel® Edison board and the Intel® Curie™ Compute Module) and Intel® IoT Gateways to the Microsoft Azure IoT Suite.

[tut 2] Lina ChatBot - Question Answering using Parsing CKY & Web Scrapping

by The Zakies

Question answer chatbot using natural language parsing and web scrapping

10 Years of Listens: Analyzing My Music Data with Splunk

by Sarah Moir

Analyzing My Music Data with Splunk

2016: A Look Forward

by Bill Wagner

In this post, I look at the areas where I will invest my time in the coming year.

Latest Articles

Using Microsoft Azure IoT Suite with Intel® IoT Devices and Gateways

by Intel

[tut 2] Lina ChatBot - Question Answering using Parsing CKY & Web Scrapping

by The Zakies

Question answer chatbot using natural language parsing and web scrapping

10 Years of Listens: Analyzing My Music Data with Splunk

by Sarah Moir

Analyzing My Music Data with Splunk

2016: A Look Forward

by Bill Wagner

In this post, I look at the areas where I will invest my time in the coming year.

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machine-learning

2016: A Look Forward

by Bill Wagner

In this post, I look at the areas where I will invest my time in the coming year.

AI / Analytics Tools in Azure

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

Backpropagation Algorithm in Artificial Neural Networks

by Nikola M. Živković

Backpropagation in ANN

Build Recap

by Bill Wagner

Build recap

Building Predictive Maintenance Model Using ML.NET

by Bahrudin Hrnjica

Notebook completely implemented on .NET platform using C# Jupyter Notebook and Daany

C# Jupyter Notebook

by Bahrudin Hrnjica

In this article, we are going to explore the main features in the new C# Juypter Notebook.

by Jake Drew

Full demo app using both C# and R interchangeably to rapidly identify and cluster similar images

CodeMash 2013

by John Michael Hauck

CodeMash at the Kalahari Convention Center in Sandusky, OH, from January 8th through January 11th, 2013.

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 Analysis with Python – The Tools and the Data

by Jon Shern

Data Analysis with Python – The Tools and the Data

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.

Discriminatory Power Analysis by Receiver-Operating Characteristic Curves (Part 1 of 2: Theory)

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.

Efficient Face Detection Algorithm using Viola Jones method

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.

Getting Live Data from Twitter and Storing in Azure Blob Storage

by rahulsahay20

In this section, I am going to talk about Logic Apps available in Azure.

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#

Implementing Gradient Descent in Go

by Philipp_Engelmann

How to implement Gradient Descent in Go

Injecting Intelligence – Building Apps using Microsoft Cognitive Services

by Simon Jackson

How to build apps using Microsoft Cognitive Services

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.

Introduction to Convolutional Neural Networks

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.

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

Linear Regression

by rtybase

Discussion of linear regression

Machine Learning Basics: Pocket Learning Algorithm and Basic Feature Engineering

by Shun Huang

Pocket Learning Algorithm and Basic Feature Engineering