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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 Intel
Intel has invested in optimizing performance of Python itself, with the Intel® Distribution for Python, and has optimized key data science libraries used with scikit-learn, such as XGBoost, NumPy, and SciPy. This article gives more information on installing and using these extensions.
by Ragesh_Hajela
In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.
by Gaston Verelst
How to use F# to implement algorithms such of k-means
by Ganesan Senthilvel
An interesting article on Artificial Intelligence Chat Ro(Bot) application development

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Machine Learning 

26 Aug 2019 by Thomas Weller
Demonstrates how to run Python scripts from C#
14 Dec 2018 by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
24 Dec 2020 by Andy Allinger
Adds features to k-means for missing data, mixed data, and choosing the number of clusters
28 Oct 2018 by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
26 Apr 2018 by Mahsa Hassankashi
Best practice for opinion and Text Mining based on Naïve Bayesian Classifier.
2 May 2022 by KristianEkman
How to build an AI which plays Backgammon
24 Jun 2019 by Thomas Daniels
This article describes the making of a tic tac toe player that uses neural networks and machine learning.
28 Sep 2018 by Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
7 Aug 2016 by Grasshopper.iics, Moumita Das
An assistive technology initiative for patients with upper body disability
15 Dec 2021 by asiwel
Bezier Curve Classification Training And Validation Models Using ALGLIB
27 May 2014 by Mohd Akram
Java Tic Tac Toe (AI based)
29 May 2020 by Glenn Prince
This article is the first in the Data Cleaning with Python and Pandas series that helps working developers get up to speed on data science tools and techniques.
11 Jun 2020 by Glenn Prince
This article gives you a good starting point for your own object detection projects.
28 Apr 2019 by Phil Hopley
In this article, we will add AI to an existing ROS (Robot Operating System) House Bot.
5 Jun 2017 by Mahsa Hassankashi
phenomenon prediction and simulation by Markov Chain Mont Carlo
20 Jan 2016 by Sacha Barber
Looking at Spark/Cassandra working together
29 Sep 2017 by Gamil Yassin
ML algorithms based on function or type of problems they solve
28 Mar 2016 by Mr. xieguigang 谢桂纲
machine playing snake game
3 Nov 2018 by Philipp_Engelmann
In this series, I want to show you how to create a simple console-based Turing machine in Python. You can check out the full source code on https://github.com/phillikus/turing_machine. In this part, I will explain the fundamental theory behind Turing machines and set up the project based on that.
4 Jun 2020 by Glenn Prince
In this article, we'll set up everything we need to build a hardhat detector with OpenCV.
8 Jun 2020 by Glenn Prince
In this article, we'll have a look at some of the pretrained models we can use in ImageAI to start detecting people in images.
10 Jun 2022 by Gaston Verelst
How to use F# to implement algorithms such of k-means
19 Dec 2016 by petrostherock
Machine Learning. What languages come to mind? R? Python? Matlab? Bet you didn't think Visual Basic.
22 Nov 2018 by Philipp_Engelmann
How to create a Turing machine in Python - Part 2
9 Jun 2020 by Glenn Prince
In this article, we train our own custom model to detect if people are wearing hardhats.
10 Jun 2020 by Glenn Prince
In this article, we begin the process of creating a custom object detection model.
3 Sep 2020 by Keith Pijanowski
This article is the first in a series of seven articles in which we will explore the value of ONNX with respect to three popular frameworks and three popular programming languages.
14 Feb 2017 by Alibaba Cloud
This post features a basic introduction to machine learning (ML). You don’t need any prior knowledge about ML to get the best out of this article. Before getting started, let’s address this question: "Is ML so important that I really need to read this post?"
1 Dec 2017 by Dmitrii Nemtsov
A way to build a finite-state machine identifying predefined sequences in a stream of characters.
5 Jun 2020 by Glenn Prince
In this article, we create an object detection model.
13 Jul 2020 by Raphael Mun
In this article, we are going to use all that we’ve learned so far with computer vision in TensorFlow.js to try building a version of this app ourselves.
6 Aug 2016 by Grasshopper.iics, Abhishek Nandy, Moumita Das
Industrial IoT time series data collection with GE Predix time series ingestion and data streaming
4 May 2017 by Intel Corporation
This article will go over some basics of AI, and outline some tools and resources that may help.
1 Jun 2017 by Intel Corporation
This paper introduces Intel software tools recently made available to accelerate deep learning inference in edge devices (such as smart cameras, robotics, autonomous vehicles, etc.) incorporating Intel® Processor Graphics solutions across the spectrum of Intel SOCs.
13 Aug 2018 by syed shanu
In this article, we will see how to develop our first ML.Net application to predict the Item stock quantity.
26 Aug 2020 by Jarek Szczegielniak
In this article we prepare our development environment.
1 Sep 2020 by Jarek Szczegielniak
In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.
4 Nov 2020 by Arnaldo P. Castaño
In this article we will go over the basics of supervised machine learning and what the training and verification phases consist of.
3 Sep 2018 by asiwel
Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB
27 Nov 2017 by Jesse Casman
Do developers really need to pay attention to chatbots in a fairly small market of just over a billion dollars?
20 Jun 2016 by Intel Corporation
This article provides general guidelines for connecting any Intel® Internet of Things (IoT) devices (that is, devices that support Intel microcontrollers, such as the Intel® Edison board and the Intel® Curie™ Compute Module) and Intel gateways to the Amazon Web Servives (AWS) IoT platform.
19 Apr 2017 by Intel Corporation
This article describes different methods to detect outliers in the data and how the Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize outlier detection when running it on systems equipped with Intel® Xeon® processors.
21 Nov 2017 by Pete Garcin
Exploring how to take one of the pre-trained models for TensorFlow and set it up to be executed in Go - Specifically, detecting multiple objects within any image
18 Jun 2018 by Jesús Utrera
Third article of a series of articles introducing deep learning coding in Python and Keras framework
1 Oct 2018 by asiwel
How to Deploy Trained Models Concurrently
31 Oct 2018 by syed shanu
In this article, we will see how to work on Clustering model for predicting the Mobile used by model, Sex, before 2010 and After 2010 using the Clustering model with ML.NET.
18 Feb 2019 by Apriorit Inc, ruksovdev
A detailed description of an FPGA-specific framework called ISE Design Suite, and the main steps you need to take in order to create a VGA driver using FPGA
8 Jul 2020 by Raphael Mun
In this article, I will show you how quickly and easily set up and use TensorFlow.js to train a neural network to make predictions from data points.
5 Aug 2020 by Arnaldo P. Castaño
In this article we’ll put together our CNN and train it for face recognition.
25 Sep 2020 by philoxenic
In this article, we set up with the Bullet physics simulator as a basis for doing some reinforcement learning in continuous control environments.
23 Apr 2021 by Jarek Szczegielniak
In this article – the first one of the series – we’ll go over some Docker basics as they apply to ML applications.
4 Apr 2016 by Mr. xieguigang 谢桂纲
R API for drawing venn diagram in VisualBasic
14 Dec 2018 by Philipp_Engelmann
Simple Linear Regression from scratch in Rust
13 Apr 2019 by George Swan
An example of how the temporal difference algorithm can be used to teach a machine to become invincible at Tic Tac Toe in under a minute
14 May 2019 by Ryukkkk
Easy to implement machine learning
26 Jun 2020 by philoxenic
In this article, we will see what’s going on behind the scenes and what options are available for changing the reinforcement learning.
29 Jun 2020 by philoxenic
In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.
30 Jun 2020 by philoxenic
In this article, we will see how you can use a different learning algorithm (plus more cores and a GPU) to train much faster on the mountain car environment.
2 Jul 2020 by philoxenic
In this article we will learn from the contents of the game’s RAM instead of the pixels.
4 Aug 2020 by Arnaldo P. Castaño
In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.
7 Aug 2020 by Arnaldo P. Castaño
In this article we focus on the Text-to-Speech with the use of Deep Learning.
27 Aug 2020 by Jarek Szczegielniak
In this article we'll convert a ResNet model to the Core ML format.
28 Aug 2020 by Jarek Szczegielniak
Having converted a ResNet model to the Core ML format in the previous article, in this article we’ll now use it in a simple iOS application.
31 Aug 2020 by Jarek Szczegielniak
In this article we’ll start data preparation for this new, custom model, to be later trained using the Create ML framework.
29 Sep 2020 by philoxenic
In this article in the series we start to focus on one particular, more complex environment that PyBullet makes available: Humanoid, in which we must train a human-like agent to walk on two legs.
1 Oct 2020 by philoxenic
In this article we will try to train our agent to run backwards instead of forwards.
26 Apr 2021 by Jarek Szczegielniak
In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.
18 May 2021 by Jarek Szczegielniak
In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.
19 May 2021 by Jarek Szczegielniak
In this article we run an inference model for NLP using models persisted on a Docker volume.
21 May 2021 by Jarek Szczegielniak
In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.
25 May 2021 by Jarek Szczegielniak
In this article, we publish our NLP API service to Azure using Azure Container Instances.
9 Jul 2020 by Raphael Mun
In this article, we’ll dive into computer vision running right within a web browser.
1 Jun 2017 by Intel
This paper introduces the Artificial Intelligence (AI) community to TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms.
29 Apr 2021 by Jarek Szczegielniak
In this article we go back to the Intel/AMD CPUs. This time, we will speed up our calculations using a GPU.
1 Jun 2010 by Prashant Gotarne, pankajdoke, SanjayKimbahune
‘Indix’ is an open source component written in C for Indian font rendering. Indix is a de facto implementation of the rules of Indian languages by CDAC.
20 Jun 2016 by Intel Corporation
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.
19 Apr 2017 by Intel Corporation
In Part 2 we will explore how to configure an integrated development environment (IDE) to build the C++ code example, and provide a code walkthrough based on the AlexNet deep learning topology.
19 Apr 2017 by Intel Corporation
The Developer's Introduction to Intel MKL-DNN tutorial series examines Intel MKL-DNN from a developer’s perspective. Part 1 identifies informative resources and gives detailed instructions on how to install and build the library components.
1 Jun 2017 by Intel Corporation
This article provides an overview of recent enhancements available in the BigDL 0.1.0 release (as well as in the upcoming 0.1.1 release)
4 Mar 2018 by Diego Stéfano
Spam detection in Scala using Deeplearning4j.
1 Nov 2018 by Bahrudin Hrnjica
Export options in ANNdotNET
25 Jan 2019 by Philipp_Engelmann
Competing on kaggle.com for the first time
27 May 2019 by Ryukkkk
Easy to implement machine learning
10 Jul 2020 by Raphael Mun
In this article we will build a Fluffy Animal Detector, where I will show you a way to leverage a pre-trained Convolutional Neural Network (CNN) model like MobileNet.
14 Jul 2020 by Raphael Mun
In this article, we are going to use BodyPix, a body part detection and segmentation library, to try and remove the training step of the face touch detection.
4 Sep 2020 by Keith Pijanowski
In this article I provide a brief overview of Keras for those looking for a deep learning framework for building and training neural networks
30 Sep 2020 by philoxenic
In this article we will adapt our code to train the Humanoid environment using a different algorithm: Soft Actor-Critic (SAC).
2 Oct 2020 by philoxenic
In article in this series we will look at even deeper customisation: editing the XML-based model of the figure and then training the result.
1 Apr 2021 by Sergio Virahonda
In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.
6 May 2021 by Sergio Virahonda
In this article, we’ll deep-dive into the Continuous Training code.
27 Apr 2021 by Jarek Szczegielniak
In this article, we’ll create a container to run a CPU inference on the trained model.
27 Apr 2021 by Jarek Szczegielniak
In this article, we’ll adapt our image for Raspberry Pi with an ARM processor.
20 May 2021 by Jarek Szczegielniak
In this article, we’ll modify our code to expose the same logic via a Rest API service.
10 May 2021 by Sergio Virahonda
In this article we build the model API to support the prediction service.
3 Mar 2018 by sjb_strat
Create a Spam Filter Using Machine Learning
3 Feb 2022 by MehreenTahir
In this article, we learn how to train a machine learning (ML) model on an Arc-enabled Kubernetes cluster.
4 Feb 2022 by MehreenTahir
In this article we learn to deploy our model and enable inference anywhere with Azure Arc-enabled ML.
17 Mar 2022 by MehreenTahir
In this article we demonstrate how to deploy a Custom Vision model on a Raspberry Pi device to detect pedestrians in front of a vehicle.
15 Mar 2022 by MehreenTahir
In this article we demonstrate how to train a model to detect the presence of a human in images.
16 Mar 2022 by MehreenTahir
In the previous article we trained a simple machine learning model that identifies when and where a human is present in an image. This article will demonstrate how to test this model and re-train it as necessary.
5 Nov 2019 by Packt Publishing
How to solve real-world problems with R and Machine learning
29 Jul 2022 by Intel
Intel has invested in optimizing performance of Python itself, with the Intel® Distribution for Python, and has optimized key data science libraries used with scikit-learn, such as XGBoost, NumPy, and SciPy. This article gives more information on installing and using these extensions.
14 Jun 2012 by Ghazanfar_Ali
Clustering of 2D data Using Python and simulation in PyGame
27 Apr 2012 by Manning
A chapter excerpt from Programming Robots
20 Jun 2016 by Intel Corporation
This line following robot application is part of a series of how-to Intel® IoT Technology code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, cloud platforms, APIs, and other technologies.
9 Sep 2016 by Intel Corporation
This shop-floor equipment activity monitor application is part of a series of how-to Intel Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit, Intel® Edison development platform, cloud platforms, APIs, and other technologies.
9 Sep 2016 by Intel Corporation
This home fall tracker application is part of a series of how-to Intel® Internet of Things (IoT) code sample exercises using the Intel IoT Developer Kit, Intel® Edison development platform, cloud platforms, APIs, and other technologies.
9 Sep 2016 by Intel Corporation
This guide describes the implementation of an industrial use case using Intel® IoT Gateway and the IBM Watson IoT Platform running on IBM Bluemix.
21 Oct 2016 by Intel Corporation
The Intel® Joule™ module is the newest addition to a line of powerful, multi-purpose development boards from Intel®
21 Oct 2016 by Intel Corporation
Microsoft Azure collaborates with Intel IoT® Technologies to provide developers with a full set of development tools – from the edge to the cloud.
19 Apr 2017 by Intel Corporation
In this post we show how to set up a production-ready machine learning workflow with Intel® Nervana™ technology, neon, and Pachyderm.
3 May 2017 by Intel Corporation
MXNet is an open-source deep learning framework that allows you to define, train, and deploy deep neural networks on a wide array of devices, from cloud infrastructure to mobile devices.
3 May 2017 by Intel Corporation
In this blog post, we highlight one particular class of low precision networks named binarized neural networks (BNNs), the fundamental concepts underlying this class, and introduce a Neon CPU and GPU implementation.
3 May 2017 by Intel Corporation
Nervana is currently developing the Nervana Engine, an application specific integrated circuit (ASIC) that is custom-designed and optimized for deep learning.
1 Jun 2017 by Intel Corporation
To make it easier to deploy BigDL, we created a “Deploy to Azure” button on top of the Linux (Ubuntu) edition of the Data Science Virtual Machine (DSVM)
1 Jun 2017 by Intel Corporation
This paper shows how the python API of the Intel® Data Analytics Acceleration Library (Intel® DAAL) tool works. First, we explain how to manipulate data using the pyDAAL programming interface and then show how to integrate it with python data manipulation/math APIs.
1 Jun 2017 by Intel Corporation
Artificial intelligence holds greater promise in transforming clinical research.
3 Mar 2018 by Omar Gameel Salem
Using Collaborative Filtering to find people who share tastes, and for making automatic recommendations based on things that other people like.
3 Mar 2018 by sjb_strat
Use machine learning to determine the programming language of text
4 Apr 2019 by Apriorit Inc, Semyon Boyko
Find out an easy way to use the pretrained Inception V3 neural network for video classification.
21 Apr 2019 by Coding Notes
Diary of learning Machine Learning and TensorFlow
20 May 2019 by Ryukkkk
Easy to implement machine learning
3 Jul 2020 by philoxenic
In this article, we will see how we can improve by approaching the RAM in a slightly different way.
6 Jul 2020 by philoxenic
In this final article in this series, we will look at slightly more advanced topics: minimizing the "jitter" of our Breakout-playing agent, as well as performing grid searches for hyperparameters.
6 Aug 2020 by Arnaldo P. Castaño
In this article we’ll adapt the VGG16 model.
28 Sep 2020 by philoxenic
In this article, we look at two of the simpler locomotion environments that PyBullet makes available and train agents to solve them.
9 Nov 2020 by Arnaldo P. Castaño
To end off this series, we will present the alternative of adapting a pre-trained CNN to the coin recognition problem we have been examining all along.
14 Apr 2021 by Martin_Rupp
In this article we introduce the main theoretical concepts required for building an ML-based translator.
4 May 2021 by Sergio Virahonda
In this article, we set up a cloud environment for this project.
9 Jul 2021 by Shweta Lodha
Ways to extract information from sales receipt and detailed demonstration of how to use pre-built ML models
22 Jul 2021 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.
28 May 2019 by Ryukkkk
Easy to implement machine learning
15 Apr 2019 by Afzaal Ahmad Zeeshan
Integrating Cognitive Services SDKs in a .NET Core based application and exploring how real-world scenarios can be tackled using ML services offered by Microsoft
23 Jun 2022 by Ragesh_Hajela
In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.
1 Jun 2016 by Android on Intel
Intel® System Studio 2017 Beta has been released. This is the Beta program page which guides you further on Intel® System Studio 2017 Beta new features and enhanced usability experience.
19 Dec 2016 by Intel Corporation
Now that the eight-week Intel® Ultimate Coder Challenge for IoT is complete, teams continue developing and expanding their projects into the commercial sector.
4 May 2017 by Intel Corporation
Theano is a Python library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays (numpy.ndarray)
27 Jul 2015 by Android on Intel
In this article I will explain what is DNN and how the Intel® SSSE3 instruction set helps to accelerate DNN calculation progress.
13 Nov 2015 by Intel Corporation
A complete list of these JavaScript code sample titles is provided below along with their links to instructions and code.
19 Jan 2016 by Intel Corporation
This smart stove top application is part of a series of how-to Intel IoT code sample exercises using the Intel® IoT Developer Kit, Intel® Edison development platform, cloud platforms, APIs, and other technologies.
18 Apr 2016 by Intel Corporation
This access control system application is part of a series of how-to Intel® IoT Technology code sample exercises using theIntel® IoT Developer Kit, Intel® Edison board, cloud platforms, APIs, and other technologies.
18 Apr 2016 by Intel Corporation
This automatic watering system application is part of a series of how-to Intel IoT code sample exercises using the Intel® IoT Developer Kit, Intel® Edison development platform, cloud platforms, APIs, and other technologies.
17 May 2016 by Intel Corporation
This smart doorbell application is part of a series of how-to Intel® IoT Technology code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, cloud platforms, APIs, and other technologies.
17 May 2016 by Intel Corporation
This smart alarm clock application is part of a series of how-to Intel® IoT Technology code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, cloud platforms, APIs, and other technologies.
3 Apr 2019 by Johnathan Ortiz-Sonnen
Deconstructing Misty's "Follow Ball" Skill
14 Sep 2016 by Mike Lanzetta
In this post, I'll walk you through how to get one of the most popular toolkits up and running on Windows, and run through and explain some fun examples.
20 Sep 2016 by Yuri Diogenes
This article explores how the Microsoft Azure IoT Suite provides a secure and private Internet of Things cloud solution.
23 Sep 2016 by Lee Stott
The Microsoft Data Science Virtual Machine jump starts your analytics project. It enables you to work on tasks in a variety of languages including R, Python, SQL, and C#.
3 Nov 2016 by Intel Corporation
To help innovators tackle the complexities of machine learning, we are making performance optimizations available to developers through familiar Intel® software tools, specifically through the Intel® Data Analytics Acceleration Library (Intel® DAAL) and enhancements to the Intel® Math Kernel Library
3 Nov 2016 by Intel Corporation
Get Results with the Intel® Data Analytics Acceleration Library and the Latest Intel® Xeon Phi™ Processor
3 Nov 2016 by Intel Corporation
Exploring Intel® Data Analytics Acceleration Library C++ Coding for Handwritten Digit Recognition
16 Nov 2016 by Intel Corporation
This project describes how to recognize certain types of human physical activities using acceleration data generated from the ADXL345 accelerometer connected to the Intel® Edison board.
7 Feb 2017 by Intel Corporation
Your Path to Deeper Insights
12 Apr 2017 by Intel Corporation
Based on the topics covered and the examples cited in this paper, hopefully you are convinced that the technology advancements, especially those emulating the human brain and eye, are evolving at a fast pace and may soon replace the human eye.
12 Apr 2017 by Intel Corporation
In this blog post we will explain transfer learning and some of its applications, explain how neon can be used for transfer learning, walk through example code that uses neon for transferring a pre-trained model to a new dataset, and discuss the merits of transfer learning with some results
12 Apr 2017 by Intel Corporation
Intel’s new Deep Learning tools (with the upcoming integration of Nervana’s cloud stack) are designed to hide/reduce the complexity of strong scaling time-to-train and model deployment tradeoffs on resource-constrained edge devices without compromising the performance need.
12 Apr 2017 by Intel Corporation
Today we’ll take a close look at exactly how retailers are using machine learning technologies to maximize their business. To do so, we’ll talk about the application programming interface (API). If you have a technical background, chances are that you might be familiar with and using this important
12 Apr 2017 by Intel Corporation
This article describes a common type of regression analysis called linear regression and how the Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize this algorithm when running it on systems equipped with Intel® Xeon® processors.
26 May 2017 by Intel Corporation
In this article, we will talk about criteria you can use to select correct algorithms based on two real-world machine learning problems that were taken from the well-known Kaggle platform used for predictive modeling and from analytics competitions where data miners compete to produce the best model
14 Aug 2017 by Intel Corporation
In this article, we discuss our teachings about data science in a series of steps so that any product manager or business manager interested in exploring this science will be able take their first step toward becoming a data scientist or at least develop a deeper understanding of this science.
14 Aug 2017 by Intel Corporation
Intel is uniquely positioned for AI development—the Intel’s AI Ecosystem offers solutions for all aspects of AI by providing a unified front end for a variety of backend technologies, from hardware to edge devices.
14 Aug 2017 by Intel Corporation
There are many techniques to predict the stock price variations, but in this project, New York Times’ news articles headlines is used to predict the change in stock prices.
14 Aug 2017 by Intel Corporation
Intel® Software Innovator Joshua Montgomery, Karl Fezer, and Steve Penrod of the Mycroft team let me pick their brains to learn a bit more about Mycroft.
7 May 2021 by Sergio Virahonda
In this article, we develop a model unit testing container.
30 Oct 2019 by Wayne Applebaum
Discussion of the issues of identifying adverse drug effects and how machine learn and big data techniques can solve for them.
10 Dec 2018 by Apriorit Inc, Vadym Zhernovyi
The experience of improving Mask R-CNN performance six to ten times by applying TensorRT
29 Aug 2017 by Intel® Nervana™ AI Academy
This article aims to explore what happens when Intel solutions support functional and logic programming languages that are regularly used for AI.
30 Oct 2019 by DaveNoderer
Recommendation System for wholesale automotive sales
15 Apr 2019 by Afzaal Ahmad Zeeshan
Integrate Cognitive Services SDKs in .NET Core based app
29 Apr 2022 by Wei_Li
This article lays out the performance data of software AI accelerators on Intel Xeon.
3 Apr 2019 by Mahsa Hassankashi
Best practice for learning Basic of Machine Learning and Gradient Descent based on Linear Regression. This article will explain step by step computational matters.
3 Apr 2019 by Mahsa Hassankashi
This article also has a practical example for the neural network. You read here what exactly happens in the human brain, while you review the artificial neuron network.
28 May 2019 by Akhil Mittal
Face recognition and detection using modern AI based Azure cognitive service
21 Jan 2019 by Adrian Pirvu
A closer look into differences between natural nervous systems and artificial neural networks
1 Sep 2015 by Sacha Barber
An introductory article on Apache Spark, with a demo app
24 Nov 2018 by Coding Notes
Introducing the ML.NET
3 Apr 2019 by Mahsa Hassankashi
It is almost everything about big data.
24 Nov 2014 by Darko Jurić
Fast object detection by template matching
15 Dec 2018 by Dmitriy Gakh
An introduction to Genetic Algorithms with brief reference to biology and example of finding one solution for complex mathematical equation
2 Dec 2014 by César de Souza
A description of how it was possible to achieve real-time face detection with some clever ideas back in 2001
25 Feb 2015 by Todd Christell, Canin Christell
Creating a Microwave Oven IoT Application
3 Apr 2019 by Mahsa Hassankashi
This article provides python code for random forest, one of the popular machine learning algorithms in an easy and simple way.
9 Oct 2008 by Rahul_Sindhu
Steering Behaviours, Genetic Algorithms, and Neural Networks in games
15 Sep 2020 by Gary.Miller.WPF
MNIST Digit recognition in C#
14 Jun 2017 by Andy Allinger
Introduces data clustering and the k-means++ algorithm
25 Aug 2018 by I Love Code
An Introduction to Logistic Regression
28 Aug 2016 by Rodrigo Costa Camargos
This article presents how to implement a well-known agglomerative clustering algorithm in C#.
11 May 2021 by Sergio Virahonda
In this article series, we'll demonstrate how to take use a CI/CD pipeline - a tool usually used by developers and DevOps teams - and demonstrate how to use it to create a complete training, test, and deployment pipeline for AI that meets the requirements of level 2 in the Google MLOps Maturity
13 Nov 2013 by Nish Nishant, Marcelo Ricardo de Oliveira, Monjurul Habib, Kunal Chowdhury «IN», Shai Raiten
In the summer of 2013, CodeProject celebrated hitting 10 million members and invited various CodeProject members to host get-togethers around the world. Here are some of the goings-on at those celebrations.
23 Aug 2016 by Florian Rappl
This article describes the most important details of creating a useful bot using the Microsoft Bot Framework.
20 Oct 2009 by Günther M. FOIDL
Sammon's projection is a nonlinear projection method to map a high dimensional space onto a space of lower dimensionality.
22 Mar 2018 by Scott Clayton
Build a recommendation system using collaborative filtering and matrix factorization.
26 Nov 2019 by @Abdul Azeez Thekkekandy
This article explores Data Science lifecycles - Business Understanding, Data Understanding and Data Preparation
2 May 2012 by Vietdungiitb
a library for handwriting recognition system which can recognize 99% to digit or 90% to capital letter+ digit
14 Oct 2018 by Bahrudin Hrnjica
ANNdotNET v1.0 has been released
6 Jun 2020 by Alaa Ben Fatma
A visual scripting environment for R & data science
15 Jul 2020 by Raphael Mun
In this article, we will take photos of different hand gestures via webcam and use transfer learning on a pre-trained MobileNet model to build a computer vision AI that can recognize the various gestures in real time.
3 Mar 2009 by Heiko Kiessling
The article describes an easy to use a wrapper for Intel's OpenCV lib with examples.
3 Jul 2014 by Ravimal Bandara
An implementation of unsupervised watershed algorithm to image segmentation with histogram matching technique for reduce over-segmentation by using openCV.
30 Mar 2015 by Florian Rappl, Niki Kilbertus
Using Microsoft Azure to add advanced machine learning capabilities with connected IoT devices, which monitor activities of a baby and his or her environment.
3 Jul 2014 by Ravimal Bandara
An implementation of unsupervised watershed algorithm to image segmentation with histogram matching technique for reduce over-segmentation by using openCV.
30 Mar 2015 by Florian Rappl, Niki Kilbertus
Using Microsoft Azure to add advanced machine learning capabilities with connected IoT devices, which monitor activities of a baby and his or her environment.
22 Sep 2010 by Sams Publishing
This chapter covers the core make-up and capabilities of Visual Studio 2010.
6 Aug 2016 by Grasshopper.iics, Moumita Das
A complete Node-Red based suite for home automation, remote IoT based home control and Security System
12 Feb 2013 by Terrence Dorsey
CodeProject wants to help women get involved and build careers in programming. What can we do? We asked some prominent female programmers, and this is what we learned.
9 May 2016 by Alexandr Surkov
Principles of video analysis
8 Jun 2022 by Ganesan Senthilvel
An interesting article on Artificial Intelligence Chat Ro(Bot) application development
13 May 2019 by Ryukkkk
Easy to implement machine learning
24 May 2017 by Akhil Mittal
In this and the following articles on Machine Learning to figure out whatMachine Learning is and what can be achieved with it
7 Dec 2021 by Mahsa Hassankashi
Deep learning convolutional neural network by tensorflow python, complete and easy understanding
20 May 2022 by Sau002
How to create C# applications using TensorFlowSharp
30 Oct 2014 by Omar Gameel Salem
Implementation of a sophisticated spell checker that makes use of language model to consider the context in which a word occurs
16 Oct 2012 by JeffHeaton
Use Encog genetic algorithms, simulated annealing, neural networks and more with HTML5 Javascript.
29 Sep 2014 by pi19404
In this article we will look at a supervised machine learning algorithm called Logistic Regression Classifier for multi-class classification .
20 Jul 2015 by Ashkan Pourghasem
Hands on tutorial of implementing batch gradient descent to solve a linear regression problem in Matlab
28 Jul 2021 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.
22 Jan 2019 by KristianEkman
A cell by cell walkthrough of the maths of a Neural network
17 Dec 2017 by Vladimir Dorokhov
Build a simple machine learning service with ASP.NET Core, Tensorflow and Azure Cloud
9 May 2006 by Richard Northedge
Presents a Maximum Entropy modeling library, and discusses its usage, with the aid of two examples: a simple example of predicting outcomes, and an English language tokenizer.
16 May 2007 by pseudonym67
A Look at Adaptive Programming with Genetic Algorithms
6 Jul 2015 by Matteo Manferdini
A guide on how to be on top of iOS development
25 Mar 2015 by Glenn Vassallo
An end to end IoT system utilising Microsoft Azure Cloud Technology and an embedded device, the Texas Instruments CC3200 LaunchPad (Single Chip Wi-Fi MCU).
22 Jun 2020 by Thomas Daniels
In this article, let’s dive into Keras, a high-level library for neural networks.
7 Aug 2016 by Grasshopper.iics
Human Activity tracking and aggregation at the edge with Activity based climate control
9 Oct 2014 by pi19404
In this article we will look at single-hidden layer Multi-Layer Perceptron (MLP).
20 Aug 2018 by Bahrudin Hrnjica
Linear regression with CNTK and C#
4 Jun 2017 by Akhil Mittal
This is the second article of the series and will largely focus on machine learning processes and scenarios.
26 Dec 2016 by Fernando de Oliveira [MCP]
What if you could predict data using a cloud-based environment? You can do it with Azure Machine Learning.
12 Sep 2017 by The Zakies
Question answer chatbot using natural language parsing and web scrapping
11 Oct 2013 by ASP.NET Community
A Web service is defined by the W3C as "a software system designed to support interoperable Machine to Machine interaction over a network." Web
16 Oct 2013 by ASP.NET Community
 I hosted my wcf service with wsHttpBinding as well as netTcpbinding.While I hosted with netTcpBinding on IIS 7 follwing things I have considered,
13 Feb 2017 by Alibaba Cloud
In this post, we learn about algorithms that help implement ML functions.
12 Mar 2018 by Peter Leow
Design and implement a simple AI agent that can learn and fight the relentless spam plague.
30 Nov 2016 by Dino Konstantopoulos
Running Theano with an Nvidia 1070 GPU on Windows 10, with CUDA 8 and Visual Studio 2015
1 Feb 2012 by Mohammad A Rahman
ID3 Decision Tree Algorithm - Part 1 (Attribute Selection Basic Information)
23 Sep 2014 by Niladri_Biswas
Text Mining and its Business Applications
29 May 2020 by Jayson DeLancey
This article is the third in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article, we'll look at techniques you can use to start doing the actual NLP analysis.
20 Jun 2016 by Intel Corporation
Before you embark on a new Internet of Things project, you should consider which communication patterns are best suited to it.
5 May 2021 by Sergio Virahonda
In this article, we’ll implement automatic training.
19 Jul 2013 by Anoop Pillai
Doing some 'Big Data' and building a Recommendation Engine with Azure, Hadoop and Mahout
3 Mar 2018 by Thomas Daniels
This article describes how to use a neural network to recognize programming languages, as an entry for CodeProject's Machine Learning and Artificial Intelligence Challenge.
18 Jan 2017 by Alibaba Cloud
This post features a basic introduction to Machine Learning. This post on Machine Learning will not only help you to understand the latest trends in the Internet industry, but increase your understanding of the technology that plays a major role in many services that make our lives easier.
30 Jan 2015 by Jesús Utrera
In this article we will train the machine to compare strings using logistic regression applied to the result of using Levenshtein algorithms (adapted) and Jaro-Winkler.
2 Feb 2022 by MehreenTahir
In this article we connect a local Kubernetes cluster to Azure Arc.
12 Apr 2019 by MehreenTahir
In this article, we’ll look at some advantages of serverless computing and then dig into a real-world example using the Microsoft Azure Functions service to build and deploy a sample ML inferencing function.
19 Jun 2020 by Thomas Daniels
In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).
2 Nov 2005 by pseudonym67
Introduction to genetic algorithms.
23 Jun 2020 by Thomas Daniels
In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.
16 Sep 2019 by syed shanu
Introduction to Machine Learning and ML.NET (Machine Learning.NET)
16 Jul 2014 by lessthanoptimal
Simple tutorial on visual object tracking with BoofCV on Android and the Desktop
16 Jun 2020 by Thomas Daniels
In this article we go a bit further with generators and classes.
22 Oct 2016 by Mostafa Eissa
10,000 foot view of machine learning
6 Aug 2016 by Grasshopper.iics, Moumita Das
Agricultural field monitoring and control can also possible using IoT sensor network
19 Aug 2016 by Intel Corporation
This project describes how to recognize certain types of human physical activities using acceleration data generated from the ADXL345 accelerometer connected to the Intel® Edison board.
6 Jun 2016 by Clinton Sheppard
A hands-on, step-by-step introduction to machine learning with genetic algorithms using Python.
6 Feb 2018 by raddevus
Entry in the Artificial Intelligence and Machine Learning Contest. Here's how I learned / guessed how to find spam.
18 Jun 2020 by Thomas Daniels
In this article let's get started hands-on with OpenCV.
12 Feb 2018 by Scott Clayton
Train a binary classifier in Azure and then use it in a C# application.
12 Jun 2020 by Thomas Daniels
This article provides some tips for experienced programmers to get up to speed with the basics of Python.
12 May 2019 by Ryukkkk
Easy to implement machine learning
3 Jun 2019 by Ryukkkk
Easy to implement machine learning
11 Oct 2013 by ASP.NET Community
In one of our project the site usage of site was very heavy and we need to migrate it to load balancing server. I have never configured the sites in
20 Jun 2016 by Intel Corporation
When you connect Internet of Things (IoT) devices (devices that support Intel microcontrollers such as the Intel® Edison board, Intel® Curie™ Compute Module, and Intel® IoT gateways) to the IBM Watson* IoT Platform, you can rapidly build IoT apps that realize your IoT use case.
17 Jun 2019 by Ryukkkk
Easy to implement machine learning
13 Sep 2010 by pankajdoke, SanjayKimbahune, Kushal Gore
- making version 3.2.8 of SQLite available as an extension for BREW version 3.1.2
2 Jun 2010 by taheretaheri
Highlights the differences in how you create an XOR network in Neuroph, Encog and JOONE
15 Jun 2020 by Thomas Daniels
Now that you know some of the basics of Python we can go a bit deeper, with the lists and tuples data structures and see how to work with them.
23 Oct 2018 by Carlos Conceição
Machine learning road to disappointment
31 Jul 2020 by Arnaldo P. Castaño
In this article, we go over the steps to detect faces in an image.
22 Mar 2015 by Aby Mammen Mathew
IoT devices needs the capability to augment the environment around them, even when sensors utilized by them break down
5 May 2019 by Ryukkkk
Easy to implement machine learning
3 Sep 2019 by Sau002
How to embed machine learning algorithem like extreme gradient boosting in C# app
1 Mar 2018 by Scott Clayton
Detect the programming language of a code snippet using neural networks in Azure ML Studio
18 Jun 2018 by Jesús Utrera
Second article of a series of articles introducing deep learning coding in Python and Keras framework
31 Mar 2015 by Prakash SNP
This article shows how to build an Azure IoT Solution for water utilities Industry
11 Mar 2019 by Coding Notes
An introduction to Infer.NET
17 Jun 2020 by Thomas Daniels
In this article we can take a look at what libraries are available to work on AI and ML tasks.
6 Sep 2007 by kristofleroux
Create your own flickr diashow
3 Feb 2008 by Adnan Masood
Disucssing use of WCFSvcHost and WcfTestClient for Service hosting and testing
4 Jul 2019 by Ryukkkk
Easy to implement machine learning
11 Feb 2005 by edeferia
Describes a simple implementation of a recommending system for e-commerce sites.
3 May 2021 by Sergio Virahonda
In this article series, we'll demonstrate how to take use a CI/CD pipeline - a tool usually used by developers and DevOps teams - and demonstrate how to use it to create a complete training, test, and deployment pipeline for AI that meets the requirements of level 2 in the Google MLOps Maturity
23 Jul 2020 by Habibur Rony
Basics of the rule-based chatbot, machine-learning chatbot and AI chatbot.
3 Mar 2018 by Vince Chan
A walkthrough of common machine learning tasks - by building a Naive Bayes Spam Classifier using python and scikit-learn
8 Apr 2016 by King Coffee
Sample code for OpenCvSharp 3 quick start
12 Oct 2013 by ASP.NET Community
To host your Web site in IIS you need to perform following steps:1. Click Start, Administrative Tools, Internet Information Services (IIS)
8 Aug 2018 by asiwel
Data modelling and visualization using longitudinal Bezier curves
14 Jul 2016 by dcmuggins
Bubble Sort is great...and terrible at the same time.
25 Jun 2020 by philoxenic
In this article, you will be up and running, and will have done your first piece of reinforcement learning.
31 Mar 2015 by Sudhir Kshirsagar
The availability of low cost sensors for environmental monitoring coupled with the capabilities of the Microsoft Cloud provides a set of enormous opportunities in building a solid infrastructure for smart cities.
4 Sep 2010 by Sandeep Andre, pankajdoke, suneetachawla, SanjayKimbahune
This article attempts to elucidate how to create an application to record and play video. There is also a brief explanation of related APIs
25 Nov 2018 by Coding Notes
An introduction to the SVM and the simplified SMO algorithm
19 Jul 2021 by Shweta Lodha
This article walks you through the steps required to create a custom ML model, train it and then use the same model to analyze the sales receipt.
1 Nov 2019 by Joel Ivory Johnson
How to collect vehicle information and use ML on AWS to predict and diagnose vehicle problems before they become serious
2 Nov 2019 by @Abdul Azeez Thekkekandy
This article describes how AI can be utilized to make a better team strategy from Manager (or Team Coach) in a live soccer game by utilizing SAP HANA and Amazon Sagemaker capabilities together.
18 Apr 2006 by Ennis Ray Lynch, Jr.
This article implements a simple chatbot to attempt to pass a Turing test, which fails miserably.
8 Jul 2012 by ASP.NET Community
To host your Web site in IIS you need to perform following steps:1. Click Start, Administrative Tools, Internet Information Services (IIS)
23 Jul 2019 by Packt Publishing
An article about supervised learning
20 May 2019 by Ryukkkk
Easy to implement machine learning