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Great Reads

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 Jarek Szczegielniak
In this article, we publish our NLP API service to Azure using Azure Container Instances.
by Jarek Szczegielniak
In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.
by Jarek Szczegielniak
In this article, we’ll modify our code to expose the same logic via a Rest API service.
by Jarek Szczegielniak
In this article we run an inference model for NLP using models persisted on a Docker volume.

All Articles

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Machine Learning 

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26 Aug 2019
Thomas Weller
Demonstrates how to run Python scripts from C#
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14 Dec 2018
Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
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24 Dec 2020
Andy Allinger
Adds features to k-means for missing data, mixed data, and choosing the number of clusters
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28 Oct 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
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26 Apr 2018
Mahsa Hassankashi
Best practice for opinion and Text Mining based on Naïve Bayesian Classifier.
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7 Aug 2016
Grasshopper.iics, Moumita Das
An assistive technology initiative for patients with upper body disability
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28 Sep 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
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24 Jun 2019
Thomas Daniels
This article describes the making of a tic tac toe player that uses neural networks and machine learning.
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27 May 2014
Mohd Akram
Java Tic Tac Toe (AI based)
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29 May 2020
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.
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11 Jun 2020
Glenn Prince
This article gives you a good starting point for your own object detection projects.
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28 Apr 2019
Phil Hopley
In this article, we will add AI to an existing ROS (Robot Operating System) House Bot.
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5 Jun 2017
Mahsa Hassankashi
phenomenon prediction and simulation by Markov Chain Mont Carlo
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20 Jan 2016
Sacha Barber
Looking at Spark/Cassandra working together
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29 Sep 2017
Gamil Yassin
This is a series of articles demonstrating .NET AI library from scratch
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28 Mar 2016
Mr. xieguigang 谢桂纲
machine playing snake game
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3 Nov 2018
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.
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22 Aug 2018
asiwel
Bezier Curve Classification Training And Validation Models Using ALGLIB
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4 Jun 2020
Glenn Prince
In this article, we'll set up everything we need to build a hardhat detector with OpenCV.
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8 Jun 2020
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.
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19 Dec 2016
petrostherock
Machine Learning. What languages come to mind? R? Python? Matlab? Bet you didn't think Visual Basic.
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22 Nov 2018
Philipp_Engelmann
How to create a Turing machine in Python - Part 2
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9 Jun 2020
Glenn Prince
In this article, we train our own custom model to detect if people are wearing hardhats.
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14 Feb 2017
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?"
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1 Dec 2017
Dmitrii Nemtsov
A way to build a finite-state machine identifying predefined sequences in a stream of characters.
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5 Jun 2020
Glenn Prince
In this article, we create an object detection model.
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10 Jun 2020
Glenn Prince
In this article, we begin the process of creating a custom object detection model.
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13 Jul 2020
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.
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3 Sep 2020
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.
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6 Aug 2016
Grasshopper.iics, Abhishek Nandy, Moumita Das
Industrial IoT time series data collection with GE Predix time series ingestion and data streaming
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4 May 2017
Intel Corporation
This article will go over some basics of AI, and outline some tools and resources that may help.
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1 Jun 2017
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.
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27 Nov 2017
Jesse Casman
Do developers really need to pay attention to chatbots in a fairly small market of just over a billion dollars?
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13 Aug 2018
syed shanu
In this article, we will see how to develop our first ML.Net application to predict the Item stock quantity.
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3 Sep 2018
asiwel
Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB
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26 Aug 2020
Jarek Szczegielniak
In this article we prepare our development environment.
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1 Sep 2020
Jarek Szczegielniak
In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.
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4 Nov 2020
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.
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20 Jun 2016
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.
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19 Apr 2017
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.
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21 Nov 2017
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
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18 Jun 2018
Jesús Utrera
Third article of a series of articles introducing deep learning coding in Python and Keras framework
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1 Oct 2018
asiwel
How to Deploy Trained Models Concurrently
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31 Oct 2018
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.
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28 Feb 2019
Gaston Verelst
This article discusses how F# is a great language to use to implement algorithms such of k-means because of its conciseness, type inference, and immutability.
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18 Feb 2019
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
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8 Jul 2020
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.
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5 Aug 2020
Arnaldo P. Castaño
In this article we’ll put together our CNN and train it for face recognition.
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25 Sep 2020
philoxenic
In this article, we set up with the Bullet physics simulator as a basis for doing some reinforcement learning in continuous control environments.
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23 Apr 2021
Jarek Szczegielniak
In this article – the first one of the series – we’ll go over some Docker basics as they apply to ML applications.
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4 Apr 2016
Mr. xieguigang 谢桂纲
R API for drawing venn diagram in VisualBasic
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14 Dec 2018
Philipp_Engelmann
Simple Linear Regression from scratch in Rust
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13 Apr 2019
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
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26 Jun 2020
philoxenic
In this article, we will see what’s going on behind the scenes and what options are available for changing the reinforcement learning.
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29 Jun 2020
philoxenic
In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.
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30 Jun 2020
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.
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2 Jul 2020
philoxenic
In this article we will learn from the contents of the game’s RAM instead of the pixels.
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4 Aug 2020
Arnaldo P. Castaño
In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.
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7 Aug 2020
Arnaldo P. Castaño
In this article we focus on the Text-to-Speech with the use of Deep Learning.
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27 Aug 2020
Jarek Szczegielniak
In this article we'll convert a ResNet model to the Core ML format.
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28 Aug 2020
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.
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31 Aug 2020
Jarek Szczegielniak
In this article we’ll start data preparation for this new, custom model, to be later trained using the Create ML framework.
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29 Sep 2020
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.
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1 Oct 2020
philoxenic
In this article we will try to train our agent to run backwards instead of forwards.
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26 Apr 2021
Jarek Szczegielniak
In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.
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18 May 2021
Jarek Szczegielniak
In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.
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19 May 2021
Jarek Szczegielniak
In this article we run an inference model for NLP using models persisted on a Docker volume.
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21 May 2021
Jarek Szczegielniak
In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.
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25 May 2021
Jarek Szczegielniak
In this article, we publish our NLP API service to Azure using Azure Container Instances.
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1 Jun 2010
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.
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20 Jun 2016
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.
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19 Apr 2017
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.
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19 Apr 2017
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.
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1 Jun 2017
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)
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1 Jun 2017
Intel Corporation
This paper introduces the Artificial Intelligence (AI) community to TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms.
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3 Mar 2018
sjb_strat
Create a Spam Filter Using Machine Learning
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1 Nov 2018
Bahrudin Hrnjica
Export options in ANNdotNET
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25 Jan 2019
Philipp_Engelmann
Competing on kaggle.com for the first time
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5 Nov 2019
Packt Publishing
This post is taken from the book Machine Learning with R - Third Edition, by Packt Publishing and written by Brett Lantz. This book will help you solve real-world problems with R and Machine learning.
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9 Jul 2020
Raphael Mun
In this article, we’ll dive into computer vision running right within a web browser.
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10 Jul 2020
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.
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14 Jul 2020
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.
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4 Sep 2020
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
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30 Sep 2020
philoxenic
In this article we will adapt our code to train the Humanoid environment using a different algorithm: Soft Actor-Critic (SAC).
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2 Oct 2020
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.
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1 Apr 2021
Sergio Virahonda
In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.
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6 May 2021
Sergio Virahonda
In this article, we’ll deep-dive into the Continuous Training code.
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27 Apr 2021
Jarek Szczegielniak
In this article, we’ll create a container to run a CPU inference on the trained model.
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27 Apr 2021
Jarek Szczegielniak
In this article, we’ll adapt our image for Raspberry Pi with an ARM processor.
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29 Apr 2021
Jarek Szczegielniak
In this article we go back to the Intel/AMD CPUs. This time, we will speed up our calculations using a GPU.
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20 May 2021
Jarek Szczegielniak
In this article, we’ll modify our code to expose the same logic via a Rest API service.
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10 May 2021
Sergio Virahonda
In this article we build the model API to support the prediction service.
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14 Jun 2012
Ghazanfar_Ali
Clustering of 2D data Using Python and simulation in PyGame
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27 Apr 2012
Manning
A chapter excerpt from Programming Robots
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20 Jun 2016
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.
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9 Sep 2016
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.
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9 Sep 2016
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.
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9 Sep 2016
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.
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21 Oct 2016
Intel Corporation
The Intel® Joule™ module is the newest addition to a line of powerful, multi-purpose development boards from Intel®
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21 Oct 2016
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.
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19 Apr 2017
Intel Corporation
In this post we show how to set up a production-ready machine learning workflow with Intel® Nervana™ technology, neon, and Pachyderm.
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3 May 2017
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.
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3 May 2017
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.
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3 May 2017
Intel Corporation
Nervana is currently developing the Nervana Engine, an application specific integrated circuit (ASIC) that is custom-designed and optimized for deep learning.
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1 Jun 2017
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)
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1 Jun 2017
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.
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1 Jun 2017
Intel Corporation
Artificial intelligence holds greater promise in transforming clinical research.
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3 Mar 2018
Omar Gameel Salem
Using Collaborative Filtering to find people who share tastes, and for making automatic recommendations based on things that other people like.
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3 Mar 2018
sjb_strat
Use machine learning to determine the programming language of text
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4 Apr 2019
Apriorit Inc, Semyon Boyko
Find out an easy way to use the pretrained Inception V3 neural network for video classification.
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15 Apr 2019
Afzaal Ahmad Zeeshan
In this article, I will demonstrate how to integrate the Cognitive Services SDKs in a .NET Core based application and explore how real-world scenarios can be tackled using ML services offered by Microsoft.
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21 Apr 2019
Coding Notes
Diary of learning Machine Learning and TensorFlow
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20 May 2019
Ryukkkk
Easy to implement machine learning
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28 May 2019
Ryukkkk
Easy to implement machine learning
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3 Jul 2020
philoxenic
In this article, we will see how we can improve by approaching the RAM in a slightly different way.
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6 Jul 2020
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.
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6 Aug 2020
Arnaldo P. Castaño
In this article we’ll adapt the VGG16 model.
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28 Sep 2020
philoxenic
In this article, we look at two of the simpler locomotion environments that PyBullet makes available and train agents to solve them.
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9 Nov 2020
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.
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14 Apr 2021
Martin_Rupp
In this article we introduce the main theoretical concepts required for building an ML-based translator.
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4 May 2021
Sergio Virahonda
In this article, we set up a cloud environment for this project.
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1 Jun 2016
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.
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19 Dec 2016
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.
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4 May 2017
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)
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15 Apr 2019
Afzaal Ahmad Zeeshan
In this article, I will demonstrate how to integrate the Cognitive Services SDKs in a .NET Core based application and explore how real-world scenarios can be tackled using ML services offered by Microsoft.
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30 Oct 2019
DaveNoderer
Recommendation System for wholesale automotive sales
27 Jul 2015
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
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
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
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
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
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
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.
14 Sep 2016
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
Yuri Diogenes
This article explores how the Microsoft Azure IoT Suite provides a secure and private Internet of Things cloud solution.
23 Sep 2016
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
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
Intel Corporation
Get Results with the Intel® Data Analytics Acceleration Library and the Latest Intel® Xeon Phi™ Processor
3 Nov 2016
Intel Corporation
Exploring Intel® Data Analytics Acceleration Library C++ Coding for Handwritten Digit Recognition
16 Nov 2016
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.
12 Apr 2017
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
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
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
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
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
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
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
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
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
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.
29 Aug 2017
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.
18 Aug 2020
Joel Sebold
An often neglected — but ultimately fundamental — driver of financial markets is liquidity. Combining data science skills and techniques, the Refinitiv Labs Liquidity Discovery project provides in-depth market liquidity insights to enable more informed trading decisions.
19 Aug 2020
David_Oliver
In this article we look at how Refinitiv Labs looks at the real-life challenge faced by equity traders with regards to detecting and responding to unexpected asset price changes.
8 Dec 2020
Silvina Bruggia
The COVID-19 pandemic has accelerated machine learning (ML) adoption in many areas, resulting in firms increasing their ML investment and implementation efforts.
10 Dec 2020
Jo Stichbury
In this article we show, a high-level, it is possible to create sophisticated AI-enabled applications that run upon memory-constrained, ultra-low power endpoint devices.
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7 May 2021
Sergio Virahonda
In this article, we develop a model unit testing container.
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30 Oct 2019
Wayne Applebaum
Discussion of the issues of identifying adverse drug effects and how machine learn and big data techniques can solve for them.
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10 Dec 2018
Apriorit Inc, Vadym Zhernovyi
The experience of improving Mask R-CNN performance six to ten times by applying TensorRT
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3 Apr 2019
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.
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3 Apr 2019
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.
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28 May 2019
Akhil Mittal
This articleis a complete end to end tutorial that will explain the concept of facerecognition and face detection using modern AI based Azure cognitive servicei.e. Azure’s Face API service.
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21 Jan 2019
Adrian Pirvu
A closer look into differences between natural nervous systems and artificial neural networks
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1 Sep 2015
Sacha Barber
An introductory article on Apache Spark, with a demo app
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3 Apr 2019
Mahsa Hassankashi
It is almost everything about big data. This article explain practical example how to process big data (>peta byte = 10^15 byte) by using hadoop with multiple cluster definition by spark and compute heavy calculations by the aid of tensorflow libraries in python.
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24 Nov 2014
Darko Jurić
Fast object detection by template matching
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15 Dec 2018
Dmitriy Gakh
An introduction to Genetic Algorithms with brief reference to biology and example of finding one solution for complex mathematical equation
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2 Dec 2014
César de Souza
A description of how it was possible to achieve real-time face detection with some clever ideas back in 2001
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25 Feb 2015
Todd Christell, Canin Christell
Creating a Microwave Oven IoT Application
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3 Apr 2019
Mahsa Hassankashi
This article provides python code for random forest, one of the popular machine learning algorithms in an easy and simple way.
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9 Oct 2008
Rahul_Sindhu
Steering Behaviours, Genetic Algorithms, and Neural Networks in games
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14 Jun 2017
Andy Allinger
Introduces data clustering and the k-means++ algorithm
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28 Aug 2016
Rodrigo Costa Camargos
This article presents how to implement a well-known agglomerative clustering algorithm in C#.
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11 May 2021
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
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13 Nov 2013
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.
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23 Aug 2016
Florian Rappl
This article describes the most important details of creating a useful bot using the Microsoft Bot Framework.
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20 Oct 2009
Günther M. FOIDL
Sammon's projection is a nonlinear projection method to map a high dimensional space onto a space of lower dimensionality.
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22 Mar 2018
Scott Clayton
Build a recommendation system using collaborative filtering and matrix factorization.
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26 Nov 2019
@Abdul Azeez Thekkekandy
This article explores Data Science lifecycles - Business Understanding, Data Understanding and Data Preparation
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12 Aug 2019
Sau002
How to create C# applications using TensorFlowSharp
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2 May 2012
Vietdungiitb
a library for handwriting recognition system which can recognize 99% to digit or 90% to capital letter+ digit
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14 Oct 2018
Bahrudin Hrnjica
ANNdotNET v1.0 has been released
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24 May 2017
mohammad farahi
English Number recognition with Multi Layer Perceptron Neural Network (MLP)
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6 Jun 2020
Alaa Ben Fatma
A visual scripting environment for R & data science.
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26 Mar 2017
Ganesan Senthilvel
An interesting article on Artificial Intelligence Chat Ro(Bot) Application development
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15 Jul 2020
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.
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3 Mar 2009
Heiko Kiessling
The article describes an easy to use a wrapper for Intel's OpenCV lib with examples.
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3 Jul 2014
Ravimal Bandara
An implementation of unsupervised watershed algorithm to image segmentation with histogram matching technique for reduce over-segmentation by using openCV.
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30 Mar 2015
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.
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22 Sep 2010
Sams Publishing
This chapter covers the core make-up and capabilities of Visual Studio 2010.
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6 Aug 2016
Grasshopper.iics, Moumita Das
A complete Node-Red based suite for home automation, remote IoT based home control and Security System
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12 Feb 2013
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.
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20 Oct 2009
Günther M. FOIDL
Sammon's projection is a nonlinear projection method to map a high dimensional space onto a space of lower dimensionality.
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22 Mar 2018
Scott Clayton
Build a recommendation system using collaborative filtering and matrix factorization.
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26 Nov 2019
@Abdul Azeez Thekkekandy
This article explores Data Science lifecycles - Business Understanding, Data Understanding and Data Preparation
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12 Aug 2019
Sau002
How to create C# applications using TensorFlowSharp
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2 May 2012
Vietdungiitb
a library for handwriting recognition system which can recognize 99% to digit or 90% to capital letter+ digit
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14 Oct 2018
Bahrudin Hrnjica
ANNdotNET v1.0 has been released
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24 May 2017
mohammad farahi
English Number recognition with Multi Layer Perceptron Neural Network (MLP)
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6 Jun 2020
Alaa Ben Fatma
A visual scripting environment for R & data science.
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26 Mar 2017
Ganesan Senthilvel
An interesting article on Artificial Intelligence Chat Ro(Bot) Application development
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15 Jul 2020
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.
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3 Mar 2009
Heiko Kiessling
The article describes an easy to use a wrapper for Intel's OpenCV lib with examples.
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3 Jul 2014
Ravimal Bandara
An implementation of unsupervised watershed algorithm to image segmentation with histogram matching technique for reduce over-segmentation by using openCV.
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30 Mar 2015
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.
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22 Sep 2010
Sams Publishing
This chapter covers the core make-up and capabilities of Visual Studio 2010.
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6 Aug 2016
Grasshopper.iics, Moumita Das
A complete Node-Red based suite for home automation, remote IoT based home control and Security System
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12 Feb 2013
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.
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9 May 2016
Alexandr Surkov
Principles of video analysis
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24 May 2017
Akhil Mittal
In this and the following articles on Machine Learning to figure out whatMachine Learning is and what can be achieved with it
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30 Oct 2014
Omar Gameel Salem
Implementation of a sophisticated spell checker that makes use of language model to consider the context in which a word occurs
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16 Oct 2012
JeffHeaton
Use Encog genetic algorithms, simulated annealing, neural networks and more with HTML5 Javascript.
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29 Sep 2014
pi19404
In this article we will look at a supervised machine learning algorithm called Logistic Regression Classifier for multi-class classification .
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3 Apr 2019
Mahsa Hassankashi
Deep learning convolutional neural network by tensorflow python, complete and easy understanding
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20 Jul 2015
Ashkan Pourghasem
Hands on tutorial of implementing batch gradient descent to solve a linear regression problem in Matlab
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22 Jan 2019
KristianEkman
A cell by cell walkthrough of the maths of a Neural network
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17 Dec 2017
Vladimir Dorokhov
This article is about building simple machine learning service using ASP.NET Core, Tensorflow and Azure Cloud
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9 May 2006
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.
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16 May 2007
pseudonym67
A Look at Adaptive Programming with Genetic Algorithms
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6 Jul 2015
Matteo Manferdini
A guide on how to be on top of iOS development
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25 Mar 2015
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).
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22 Jun 2020
Thomas Daniels
In this article, let’s dive into Keras, a high-level library for neural networks.
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7 Aug 2016
Grasshopper.iics
Human Activity tracking and aggregation at the edge with Activity based climate control
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20 Aug 2018
Bahrudin Hrnjica
Linear regression with CNTK and C#
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4 Jun 2017
Akhil Mittal
This is the second article of the series and will largely focus on machine learning processes and scenarios.
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26 Dec 2016
Fernando de Oliveira [MCP]
What if you could predict data using a cloud-based environment? You can do it with Azure Machine Learning.
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12 Sep 2017
The Zakies
question answer chatbot using natural language parsing and web scrapping
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11 Oct 2013
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
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16 Oct 2013
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,
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20 Dec 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating recurrent ANNs and applying them to different tasks.
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9 Oct 2014
pi19404
In this article we will look at single-hidden layer Multi-Layer Perceptron (MLP).
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13 Feb 2017
Alibaba Cloud
In this post, we learn about algorithms that help implement ML functions.
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12 Mar 2018
Peter Leow
Design and implement a simple AI agent that can learn and fight the relentless spam plague.
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30 Nov 2016
Dino Konstantopoulos
Running Theano with an Nvidia 1070 GPU on Windows 10, with CUDA 8 and Visual Studio 2015
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1 Feb 2012
Mohammad A Rahman
ID3 Decision Tree Algorithm - Part 1 (Attribute Selection Basic Information)
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23 Sep 2014
Niladri_Biswas
Text Mining and its Business Applications
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29 May 2020
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.
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20 Jun 2016
Intel Corporation
Before you embark on a new Internet of Things project, you should consider which communication patterns are best suited to it.
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5 May 2021
Sergio Virahonda
In this article, we’ll implement automatic training.
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19 Jul 2013
Anoop Pillai
Doing some 'Big Data' and building a Recommendation Engine with Azure, Hadoop and Mahout
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3 Mar 2018
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.
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18 Jan 2017
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.
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30 Jan 2015
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.
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12 Apr 2019
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.
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19 Jun 2020
Thomas Daniels
In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).
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2 Nov 2005
pseudonym67
Introduction to genetic algorithms.
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23 Jun 2020
Thomas Daniels
In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.
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16 Sep 2019
syed shanu
Introduction to Machine Learning and ML.NET (Machine Learning.NET)
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16 Jul 2014
lessthanoptimal
Simple tutorial on visual object tracking with BoofCV on Android and the Desktop
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16 Jun 2020
Thomas Daniels
In this article we go a bit further with generators and classes.
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6 Aug 2016
Grasshopper.iics, Moumita Das
Agricultural field monitoring and control can also possible using IoT sensor network
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19 Aug 2016
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.
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6 Jun 2016
Clinton Sheppard
A hands-on, step-by-step introduction to machine learning with genetic algorithms using Python.
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6 Feb 2018
raddevus
Entry in the Artificial Intelligence and Machine Learning Contest. Here's how I learned / guessed how to find spam.
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18 Jun 2020
Thomas Daniels
In this article let's get started hands-on with OpenCV.
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12 Feb 2018
Scott Clayton
Train a binary classifier in Azure and then use it in a C# application.
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22 Oct 2016
Mostafa Eissa
10,000 foot view of machine learning
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12 Jun 2020
Thomas Daniels
This article provides some tips for experienced programmers to get up to speed with the basics of Python.
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12 May 2019
Ryukkkk
Easy to implement machine learning
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3 Jun 2019
Ryukkkk
Easy to implement machine learning