Machine Learning

Llama

RedHat

Machine Learning for C++ developers - the hard way: DirectML

18 Apr 2024 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#

8 Feb 2024 by Nicolas DESCARTES

How to implement neural networks in C#?

Truly Understanding Decision Trees and the C4.5 Algorithm through their Implementation in C#

24 Jan 2024 by Nicolas DESCARTES

How to implement decision trees in C#?

XML

text

JSON

Understanding Logistic Regression with ML.NET

12 Jan 2024 by Nicolas DESCARTES

How to implement logistic regression in ML.NET?

Comparing K-Means and Others Algorithms for Data Clustering

8 Jan 2024 by Nicolas DESCARTES

What clustering algorithm should be selected for the clustering task?

Truly Understanding the Naïve Bayes Algorithm through its Implementation in C#

11 Dec 2023 by Nicolas DESCARTES

What is naive Bayes and how to implement it?

Transforming Data into Insights: The Art of Machine Learning

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.

Taking Intelligent Apps to the Next Level: Implementing Advanced Features with Azure Machine Learning: Part 2

25 Oct 2023 by Cloud Native Apps Team

In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this fourth and final part, you’ll explore how to integrate a custom model into your Intelligent Apps, enhancing the application’s features with specialized AI.

Taking Intelligent Apps to the Next Level: Implementing Advanced Features with Azure Machine Learning: Part 1

24 Oct 2023 by Cloud Native Apps Team

In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this third part, you’ll explore how to level up your Intelligent Apps by training a custom model using your own dataset.

Cheetah Optimizer - Python Implementation

30 Sep 2023 by Ujwal Watgule

The Cheetah Optimizer is a nature-inspired metaheuristic algorithm designed to tackle complex optimization problems across multiple dimensions.

Preparing the Path for Intelligent Apps: Transitioning from On-Premises/IaaS to Cloud-Native Applications

22 Sep 2023 by Cloud Native Apps Team

Check out this article of our series on intelligent apps to learn best practices for transitioning your on-premises or IaaS solutions to intelligent apps.

Classification using Logistic Regression in Visual Basic

9 Sep 2023 by chlohee

Machine Learning. What languages come to mind? R? Python? Matlab? Bet you didn't think Visual Basic.

CSV

Forecasting Stock Market Volatility with Kalman Filters

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

PyTorch

Decision Tree - Credit Card Fraud Detection

15 Aug 2023 by Ujwal Watgule

Credit card fraud detection is an important application of machine learning techniques.

MultiClass Logistic Classifier in Python

14 Jun 2023 by pi19404

Supervised ML algorithm for multi-class classification

Industrial IoT based Machine Tool Condition Monitoring With GE Predix Time Series Ingestion And Data Streaming

Intermediate Data Clustering with k-means

7 Jun 2023 by Andy Allinger

Add features to k-means for missing data, mixed data, and choosing the number of clusters

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

IoT

Machine Learning Basics and Perceptron Learning Algorithm

21 May 2023 by Shun Huang

Basics of ML and Perception learning algorithm

Sequence Detection With a Finite-State Machine

13 May 2023 by Dmitrii Nemtsov

A way to build a finite-state machine identifying predefined sequences in a stream of characters

K-means using F#

10 Jun 2022 by Gaston Verelst

How to use F# to implement algorithms such of k-means

Visual-Studio

Evolution of Microsoft Bot Framework

8 Jun 2022 by Ganesan Senthilvel

An interesting article on Artificial Intelligence Chat Ro(Bot) application development

Design

Architect

TensorFlow - Creating C# Applications using TensorFlowSharp

20 May 2022 by Sau002

How to create C# applications using TensorFlowSharp

Backgammon Artificial Intelligence

2 May 2022 by KristianEkman

How to build an AI which plays Backgammon

Bezier Curve Machine Learning Demonstration

15 Dec 2021 by asiwel

Bezier Curve Classification Training And Validation Models Using ALGLIB

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JSON

Deep Learning

7 Dec 2021 by Mahsa Hassankashi

Deep learning convolutional neural network by tensorflow python, complete and easy understanding

Adding an AI Style Transfer TensorFlow Lite Model to an Android App

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.

AI-Enhanced Data Science with Azure Synapse Analytics Part 1: Overview

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.

Creating and Training Custom ML Model to Read Sales Receipts Using AI-Powered Azure Form Recognizer

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.

Read Sales Receipts And Extract Details Using Pre-Built ML Model - Azure Cognitive Services

9 Jul 2021 by Shweta Lodha

Ways to extract information from sales receipt and detailed demonstration of how to use pre-built ML models

Deploying AI Docker Containers to the Cloud

25 May 2021 by Jarek Szczegielniak

In this article, we publish our NLP API service to Azure using Azure Container Instances.

shell

Debugging AI Code Running in a Docker Container

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.

shell

Exposing Dockerized AI Models via RESTful API

20 May 2021 by Jarek Szczegielniak

In this article, we’ll modify our code to expose the same logic via a Rest API service.

Dockerized AI on Large Models With NLP and Transformers

19 May 2021 by Jarek Szczegielniak

In this article we run an inference model for NLP using models persisted on a Docker volume.

Multi-Stage Docker Builds for AI Object Detection

18 May 2021 by Jarek Szczegielniak

In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.

shell

Creating an MLOps Kubernetes Cluster on GKE

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

Building an MLOps Model API

10 May 2021 by Sergio Virahonda

In this article we build the model API to support the prediction service.

MLOps Continuous Delivery with Model Unit Testing

7 May 2021 by Sergio Virahonda

In this article, we develop a model unit testing container.

Continuous Training in an MLOps Pipeline

6 May 2021 by Sergio Virahonda

In this article, we’ll deep-dive into the Continuous Training code.

Model Auto-Adjustment in an MLOps Pipeline

5 May 2021 by Sergio Virahonda

In this article, we’ll implement automatic training.

Setting Up GitHub, Docker, and Google Cloud Platform for Automated MLOps

4 May 2021 by Sergio Virahonda

In this article, we set up a cloud environment for this project.

Automatic Training, Testing, and Deployment of AI Using MLOps: Overview

3 May 2021 by Sergio Virahonda

continuous-delivery

continuous-integration

DevOps

Running AI Models in GPU-Enabled Docker Containers

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.

Running AI Models in Docker Containers on ARM Devices

27 Apr 2021 by Jarek Szczegielniak

In this article, we’ll adapt our image for Raspberry Pi with an ARM processor.

Running AI Models in Docker Containers

27 Apr 2021 by Jarek Szczegielniak

In this article, we’ll create a container to run a CPU inference on the trained model.

Creating Docker Containers for AI and Machine Learning

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.

Jupyter

Containerized AI and Machine Learning: Overview

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.

A Deep Dive Into Machine Translation

14 Apr 2021 by Martin_Rupp

In this article we introduce the main theoretical concepts required for building an ML-based translator.

Preparing to Train Deep Fake Models in the Cloud

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.

Deep Learning in C#: Coin Recognition with a Pre-Trained Model in ML.NET

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.

Deep Learning in C#: Understanding Neural Network Architecture

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.

Training a Humanoid AI Robot to Run With a Custom Model

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.

Training a Humanoid AI Robot to Run Backwards

1 Oct 2020 by philoxenic

In this article we will try to train our agent to run backwards instead of forwards.

Training a Humanoid AI Robot to Walk With Soft Actor Critic (SAC)

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).

Training a Humanoid AI Robot to Walk Using Proximal Policy Optimisation (PPO)

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.

Teaching a Robot to Walk with AI and PyBullet Environments

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.

Teaching a Robot to Walk with AI - Introduction to Continuous Control Environments

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.

A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display

15 Sep 2020 by Gary.Miller.WPF

MNIST Digit recognition in C#

WinForms

Making Keras Models Portable Using ONNX

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

Portable Neural Networks with ONNX

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.

Building an AI Image Classification Model for iOS Using Create ML and Core ML

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.

Preparing Data for AI Image Classification on iOS

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.

AI Image Classification on iOS with ResNet

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.

Converting ONNX Image Classification Models to Core ML

27 Aug 2020 by Jarek Szczegielniak

In this article we'll convert a ResNet model to the Core ML format.

Setting up macOS for ML and AI Development

26 Aug 2020 by Jarek Szczegielniak

In this article we prepare our development environment.

Deep Learning Text-to-Speech

7 Aug 2020 by Arnaldo P. Castaño

In this article we focus on the Text-to-Speech with the use of Deep Learning.

AI Face Recognition with a Pre-Trained Model

6 Aug 2020 by Arnaldo P. Castaño

In this article we’ll adapt the VGG16 model.

Custom AI Face Recognition With Keras and CNN

5 Aug 2020 by Arnaldo P. Castaño

In this article we’ll put together our CNN and train it for face recognition.

Preparing a Dataset for AI Face Recognition

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.

Face Detection with AI

31 Jul 2020 by Arnaldo P. Castaño

In this article, we go over the steps to detect faces in an image.

Anytime Customer Support using Artificial Intelligence Chatbot in Customer Service

23 Jul 2020 by Habibur Rony

Basics of the rule-based chatbot, machine-learning chatbot and AI chatbot.

.NET-Core

Interpreting Hand Gestures and Sign Language in the Webcam with AI using TensorFlow.js

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.

Face Touch Detection with TensorFlow.js Part 2: Using BodyPix

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.

WebGL

Face Touch Detection with TensorFlow.js Part 1: Using Real-Time Webcam Data With Deep Learning

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.

HTML5

Fluffy Animal Detector: Recognizing Custom Objects in the Browser by Transfer Learning in TensorFlow.js

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.

Dogs and Pizza: Computer Vision in the Browser With TensorFlow.js

9 Jul 2020 by Raphael Mun

In this article, we’ll dive into computer vision running right within a web browser.

Getting Started With Deep Learning in Your Browser Using TensorFlow.js

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.

Learning Breakout: Advanced Topics

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.

Learning Breakout From RAM – Part 2

3 Jul 2020 by philoxenic

In this article, we will see how we can improve by approaching the RAM in a slightly different way.

Learning Breakout From RAM – Part 1

2 Jul 2020 by philoxenic

In this article we will learn from the contents of the game’s RAM instead of the pixels.

Learning Breakout More Quickly

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.

Introduction to OpenAI Gym: Atari Breakout

29 Jun 2020 by philoxenic

In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.

Cartpole: Tweaking the Options

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.

Cartpole: The “Hello World” of Reinforcement Learning

25 Jun 2020 by philoxenic

In this article, you will be up and running, and will have done your first piece of reinforcement learning.

Introduction to NumPy, TensorFlow, and scikit-learn

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.

Introduction to Keras

22 Jun 2020 by Thomas Daniels

In this article, let’s dive into Keras, a high-level library for neural networks.

CUDA

Introduction to Natural Language Processing with NLTK

19 Jun 2020 by Thomas Daniels

In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).

NLTK

Introduction to OpenCV

18 Jun 2020 by Thomas Daniels

In this article let's get started hands-on with OpenCV.

Python AI and Machine Learning Libraries

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.

Python Generators and Classes

16 Jun 2020 by Thomas Daniels

In this article we go a bit further with generators and classes.

Python Tuples, Lists, Destructuring, and Loops

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.

Python Basics for Machine Learning and AI

12 Jun 2020 by Thomas Daniels

This article provides some tips for experienced programmers to get up to speed with the basics of Python.

Jupyter

Custom Model Object Detection with OpenCV and ImageAI

11 Jun 2020 by Glenn Prince

This article gives you a good starting point for your own object detection projects.

Training a Custom Model with OpenCV and ImageAI

10 Jun 2020 by Glenn Prince

In this article, we begin the process of creating a custom object detection model.

Preparing Images for Object Detection With OpenCV and ImageAI

9 Jun 2020 by Glenn Prince

In this article, we train our own custom model to detect if people are wearing hardhats.

Using Pretrained Models to Detect People With OpenCV and ImageAI

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.

Full-Featured Visual Scripting Environment for R & Data Science

6 Jun 2020 by Alaa Ben Fatma

A visual scripting environment for R & data science

Finding Training Data for OpenCV and ImageAI Object Detection

5 Jun 2020 by Glenn Prince

In this article, we create an object detection model.

Installing OpenCV and ImageAI for Object Detection

4 Jun 2020 by Glenn Prince

In this article, we'll set up everything we need to build a hardhat detector with OpenCV.

Jupyter

Using Pre-trained VADER Models for NLTK Sentiment Analysis

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.

NLP

NLTK