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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.

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AlbiruniML
by Mohamed Ashmawy
AlbiruniML is a linear algebra and machine learning library written in pure C# language inspired by tensorflow
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#?

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Machine Learning 

Using Python Scripts from a C# Client (Including Plots and Images)
26 Aug 2019 by Thomas Weller
Demonstrates how to run Python scripts from C#
XML
SQL
Python
C#
.NET
SQLite
WPF
machine-learning
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
R
FORTAN
C
Dev
statistics
machine-learning
text
A Look into the Future - Source Code Generation by the Bots
14 Dec 2018 by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
C#
.NET
VS2015
artificial-intelligence
machine-learning
TDD
ANNT : Convolutional neural networks
28 Oct 2018 by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
XML
Markdown
C++
.NET
VS2013
artificial-intelligence
Dev
Architect
makefile
CSV
Machine Learning - Opinion and Text Mining by Naive Bayes Classifier
26 Apr 2018 by Mahsa Hassankashi
Best practice for opinion and Text Mining based on Naïve Bayesian Classifier.
Python
machine-learning
algorithm
Backgammon Artificial Intelligence
2 May 2022 by KristianEkman
How to build an AI which plays Backgammon
artificial-intelligence
machine-learning
algorithm
ANNT: Feed Forward Fully Connected Neural Networks
28 Sep 2018 by Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
C++
artificial-intelligence
machine-learning
ANN
neural-network
A Tic Tac Toe AI with Neural Networks and Machine Learning
24 Jun 2019 by Thomas Daniels
This article describes the making of a tic tac toe player that uses neural networks and machine learning.
C#
.NET
artificial-intelligence
neural-network
machine-learning
game
Bezier Curve Machine Learning Demonstration
15 Dec 2021 by asiwel
Bezier Curve Classification Training And Validation Models Using ALGLIB
C#
artificial-intelligence
text
machine-learning
JSON
AI based Tic Tac Toe (Java code)
27 May 2014 by Mohd Akram
Adding Object Detection with TensorFlow to a Robotics Project
28 Apr 2019 by Phil Hopley
In this article, we will add AI to an existing ROS (Robot Operating System) House Bot.
XML
Python
Objective-C
C++
Arduino
Google
hardware
OpenCV
machine-learning
text
Introducing Jupyter and Pandas
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.
Python
artificial-intelligence
Jupyter
machine-learning
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.
Python
artificial-intelligence
machine-learning
OpenCV
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
Python
PyTorch
machine-learning
Apache Spark/Cassandra 1 of 2
20 Jan 2016 by Sacha Barber
Looking at Spark/Cassandra working together
Scala
Apache
spark
Cassandra
machine-learning
Fire Simulation and Prediction by Markov Chain Monte Carlo
5 Jun 2017 by Mahsa Hassankashi
phenomenon prediction and simulation by Markov Chain Mont Carlo
HTML
VB
.NET
VS2013
machine-learning
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.
VB
machine-learning
CSV
Build Simple AI .NET Library - Part 6 - ML Algorithms
29 Sep 2017 by Gamil Yassin
ML algorithms based on function or type of problems they solve
VB
.NET
artificial-intelligence
machine-learning
K-means using F#
10 Jun 2022 by Gaston Verelst
How to use F# to implement algorithms such of k-means
F#
artificial-intelligence
Visual-Studio
machine-learning
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
C#
.NET
Dev
graph
machine-learning
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.
Python
artificial-intelligence
machine-learning
tensorflow
Keras
OpenCV
Creating a Turing Machine in Python – Part 1
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.
artificial-intelligence
machine-learning
neural-network
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.
Python
artificial-intelligence
machine-learning
Jupyter
OpenCV
VisualBasic Machine Learning, Step 1: The Q-Learning
28 Mar 2016 by Mr. xieguigang 谢桂纲
Machine playing snake game
VB
.NET
Dev
machine-learning
Creating a Turing Machine in Python – Part 2
22 Nov 2018 by Philipp_Engelmann
How to create a Turing machine in Python - Part 2
Python
artificial-intelligence
machine-learning
neural-network
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.
Python
artificial-intelligence
machine-learning
OpenCV
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.
C++
Win64
DirectX
Win32
AI
machine-learning
Learning Machine Learning, Part 3: Application
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?"
artificial-intelligence
big-data
parallel-processing
machine-learning
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.
Python
artificial-intelligence
machine-learning
OpenCV
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.
Python
artificial-intelligence
Keras
machine-learning
Understanding Logistic Regression with ML.NET
12 Jan 2024 by Nicolas DESCARTES
How to implement logistic regression in ML.NET?
C#
.NET
machine-learning
algorithm
Finding Training Data for OpenCV and ImageAI Object Detection
5 Jun 2020 by Glenn Prince
In this article, we create an object detection model.
Python
artificial-intelligence
machine-learning
OpenCV
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
Javascript
artificial-intelligence
tensorflow
machine-learning
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?
C#
Dev
Architect
machine-learning
algorithm
A Step-by-Step Guide to Building and Distributing a Sleek RAG Pipeline
9 Jul 2024 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.
Python
machine-learning
Llama
RedHat
How to Get Started as a Developer in AI
4 May 2017 by Intel
This article will go over some basics of AI, and outline some tools and resources that may help.
artificial-intelligence
machine-learning
Accelerate Deep Learning Inference with Intel® Processor Graphics
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.
hardware
machine-learning
OpenCL
Four Reasons Developers Need Chatbot Technology Skills
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?
cloud
SysAdmin
machine-learning
Chatbot
DevOps
Bezier Curve Machine Learning with MS CNTK
3 Sep 2018 by asiwel
Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB
C#
artificial-intelligence
Visual-Studio
CNTK
machine-learning
Setting up macOS for ML and AI Development
26 Aug 2020 by Jarek Szczegielniak
In this article we prepare our development environment.
Python
iOS
artificial-intelligence
machine-learning
neural-network
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.
Python
iOS
artificial-intelligence
machine-learning
neural-network
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.
artificial-intelligence
machine-learning
deep-learning
neural-network
Industrial IoT based Machine Tool Condition Monitoring With GE Predix Time Series Ingestion And Data Streaming
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
Javascript
IoT
machine-learning
Using Amazon Web Services (AWS) IoT with Intel® IoT Devices and Gateways
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.
Edison
Arduino
AWS
IoT
mqtt
machine-learning
Enhancing Outlier Detection with Intel® Data Analytics Acceleration Library
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.
Python
machine-learning
Using Pre-Trained Models with TensorFlow in Go
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
Go
Dev
machine-learning
Deep Learning using Python + Keras (Chapter 3): ResNet
18 Jun 2018 by Jesús Utrera
Third article of a series of articles introducing deep learning coding in Python and Keras framework
Python
deep-learning
Keras
machine-learning
CNTK Model Concurrency Demonstration
1 Oct 2018 by asiwel
How to Deploy Trained Models Concurrently
XML
C#
VS2013
VS2017
artificial-intelligence
machine-learning
text
Getting Started with Machine Learning DotNet for Clustering Model
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.
C#7.0
C#
.NET
ML.Net
VS2017
text
machine-learning
CSV
Understanding the FPGA: From Developing Configurations to Building a VGA Driver
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
embedded
artificial-intelligence
OpenCL
driver
machine-learning
parallel-processing
security
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.
Javascript
artificial-intelligence
machine-learning
tensorflow
neural-network
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.
Python
artificial-intelligence
Keras
CNN
machine-learning
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.
Python
artificial-intelligence
machine-learning
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.
artificial-intelligence
docker
machine-learning
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.
Python
artificial-intelligence
docker
tensorflow
NLP
machine-learning
TensorFlow Optimizations on Modern Intel® Architecture
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.
artificial-intelligence
HPC
machine-learning
Simple Linear Regression from Scratch in Rust
14 Dec 2018 by Philipp_Engelmann
Simple Linear Regression from scratch in Rust
Rust
machine-learning
algorithm
Reinforcement Learning - A Tic Tac Toe Example
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
C#
.NET
Architect
machine-learning
Step-by-Step Guide to Implement Machine Learning V - Support Vector Machine
14 May 2019 by Ryukkkk
Easy to implement machine learning
slack
machine-learning
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.
Python
artificial-intelligence
machine-learning
neural-network
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.
Python
artificial-intelligence
machine-learning
neural-network
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.
Python
artificial-intelligence
machine-learning
neural-network
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.
Python
artificial-intelligence
machine-learning
neural-network
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.
Javascript
artificial-intelligence
tensorflow
machine-learning
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.
Python
artificial-intelligence
CNN
machine-learning
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.
Python
artificial-intelligence
deep-learning
CNN
machine-learning
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.
Python
iOS
machine-learning
neural-network
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.
Python
iOS
artificial-intelligence
machine-learning
neural-network
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.
Python
iOS
artificial-intelligence
machine-learning
neural-network
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.
Python
artificial-intelligence
machine-learning
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.
Python
artificial-intelligence
machine-learning
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.
Python
artificial-intelligence
docker
Jupyter
machine-learning
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.
Python
docker
tensorflow
machine-learning
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
Python
artificial-intelligence
text
debugging
machine-learning
docker
JSON
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
Python
artificial-intelligence
Azure
machine-learning
docker
YAML
NLP
text
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
Python
artificial-intelligence
docker
tensorflow
machine-learning
Porting Open Source Indix Library to BREW
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.
C
Visual-Studio
Dev
machine-learning
​Using Microsoft Azure IoT Suite with Intel® IoT Devices and Gateways
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.
Edison
Arduino
Azure
IoT
mqtt
machine-learning
Intel® MKL-DNN: Part 2 – Sample Code Build and Walkthrough
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.
C
C++
Ubuntu
Eclipse
machine-learning
Intel® MKL-DNN: Part 1 – Library Overview and Installation
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.
Go
C++
Linux
Eclipse
machine-learning
BigDL: Bring Deep Learning to the Fingertips of Big Data Users and Data Scientists
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)
Python
machine-learning
Create Your First Machine Learning Model to Filter Spam
3 Mar 2018 by sjb_strat
Create a Spam Filter Using Machine Learning
Python
artificial-intelligence
machine-learning
Spam Detection Using Long Short-Term Memory (LSTM) Neural Networks with Deeplearning4j
4 Mar 2018 by Diego Stéfano
Spam detection in Scala using Deeplearning4j.
Scala
artificial-intelligence
machine-learning
Export Options in ANNdotNET
1 Nov 2018 by Bahrudin Hrnjica
Export options in ANNdotNET
C#
COM
MS-Excel
IE
machine-learning
Competing on kaggle.com for the First Time
25 Jan 2019 by Philipp_Engelmann
Competing on kaggle.com for the first time
Python
machine-learning
Keras
neural-network
Step-by-Step Guide to Implement Machine Learning VIII - Linear Regression
27 May 2019 by Ryukkkk
Easy to implement machine learning
Python
machine-learning
Frequently Used R Data Structures in Machine Learning
5 Nov 2019 by Packt Publishing
How to solve real-world problems with R and Machine learning
machine-learning
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.
Javascript
artificial-intelligence
tensorflow
machine-learning
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.
Javascript
artificial-intelligence
machine-learning
tensorflow
WebGL
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
Python
artificial-intelligence
Keras
machine-learning
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).
Python
artificial-intelligence
machine-learning
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.
Python
artificial-intelligence
machine-learning
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.
Python
AWS
google-cloud
tensorflow
Keras
machine-learning
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.
shell
Python
machine-learning
docker
tensorflow
Jupyter
text
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.
ARM
Raspberry-Pi
docker
tensorflow
machine-learning
Continuous Training in an MLOps Pipeline
6 May 2021 by Sergio Virahonda
In this article, we’ll deep-dive into the Continuous Training code.
Python
docker
machine-learning
Building an MLOps Model API
10 May 2021 by Sergio Virahonda
In this article we build the model API to support the prediction service.
Python
docker
machine-learning
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.
artificial-intelligence
machine-learning
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.
Python
artificial-intelligence
machine-learning
docker
NLP
REST
Configuring Robot Peripherals
27 Apr 2012 by Manning
A chapter excerpt from Programming Robots
hardware
Dev
machine-learning


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