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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 Michael Chourdakis
An introduction to machine learning with working C++ code that trains a linear regression model.
by Nicolas DESCARTES
How to implement neural networks in C#?
by Nicolas DESCARTES
How to implement logistic regression in ML.NET?

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Machine Learning 

26 Aug 2019 by Thomas Weller
Demonstrates how to run Python scripts from C#
7 Jun 2023 by Andy Allinger
Add features to k-means for missing data, mixed data, and choosing the number of clusters
14 Dec 2018 by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
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
28 Sep 2018 by Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
24 Jun 2019 by Thomas Daniels
This article describes the making of a tic tac toe player that uses neural networks and machine learning.
15 Dec 2021 by asiwel
Bezier Curve Classification Training And Validation Models Using ALGLIB
27 May 2014 by Mohd Akram
28 Apr 2019 by Phil Hopley
In this article, we will add AI to an existing ROS (Robot Operating System) House Bot.
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.
21 Aug 2023 by Jin Choi, PhD
A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities
20 Jan 2016 by Sacha Barber
Looking at Spark/Cassandra working together
5 Jun 2017 by Mahsa Hassankashi
phenomenon prediction and simulation by Markov Chain Mont Carlo
9 Sep 2023 by chlohee
Machine Learning. What languages come to mind? R? Python? Matlab? Bet you didn't think Visual Basic.
29 Sep 2017 by Gamil Yassin
ML algorithms based on function or type of problems they solve
10 Jun 2022 by Gaston Verelst
How to use F# to implement algorithms such of k-means
13 May 2023 by Dmitrii Nemtsov
A way to build a finite-state machine identifying predefined sequences in a stream of characters
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.
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.
28 Mar 2016 by Mr. xieguigang 谢桂纲
Machine playing snake game
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.
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?"
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.
12 Jan 2024 by Nicolas DESCARTES
How to implement logistic regression in ML.NET?
18 Apr 2024 by Michael Chourdakis
An introduction to machine learning with working C++ code that trains a linear regression model.
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.
8 Jan 2024 by Nicolas DESCARTES
What clustering algorithm should be selected for the clustering task?
4 May 2017 by Intel
This article will go over some basics of AI, and outline some tools and resources that may help.
1 Jun 2017 by Intel
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.
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?
3 Sep 2018 by asiwel
Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB
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.
22 May 2023 by Grasshopper.iics, Abhishek Nandy, Moumita Das
Industrial IoT time series data collection with GE Predix time series ingestion and data streaming
20 Jun 2016 by Intel
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
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.
19 May 2021 by Jarek Szczegielniak
In this article we run an inference model for NLP using models persisted on a Docker volume.
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.
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
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.
9 Jul 2020 by Raphael Mun
In this article, we’ll dive into computer vision running right within a web browser.
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.
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.
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.
18 May 2021 by Jarek Szczegielniak
In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.
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
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
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
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
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)
3 Mar 2018 by sjb_strat
Create a Spam Filter Using Machine Learning
1 Nov 2018 by Bahrudin Hrnjica
Export options in ANNdotNET
25 Jan 2019 by Philipp_Engelmann
Competing on kaggle.com for the first time
5 Nov 2019 by Packt Publishing
How to solve real-world problems with R and 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.
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.
6 May 2021 by Sergio Virahonda
In this article, we’ll deep-dive into the Continuous Training code.
10 May 2021 by Sergio Virahonda
In this article we build the model API to support the prediction service.
8 Nov 2023 by Chris Maunder
Dive into the world of machine learning and explore how it empowers businesses to extract valuable insights from vast amounts of data. Discover practical techniques and tools for successful implementation.
20 May 2021 by Jarek Szczegielniak
In this article, we’ll modify our code to expose the same logic via a Rest API service.
27 Apr 2012 by Manning
A chapter excerpt from Programming Robots
20 Jun 2016 by Intel
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.