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by Thomas Weller
Demonstrates how to run Python scripts from C#
by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
by Andy Allinger
Adds features to k-means for missing data, mixed data, and choosing the number of clusters
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.

Latest Articles

by 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.
by MehreenTahir
In this article we explore how to enrich our data using a pre-trained model and trigger an Auto ML experiment from a Spark table.
by MehreenTahir
In this article we jump right into setting up an Azure Synapse workspace and Azure Synapse Studio to prepare for our machine learning analysis in the next article in the series.
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.

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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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8 Oct 2019
Visweswaran N
Dependency free machine learning library for C++
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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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22 Oct 2017
Shun Huang
Machine learning is a term that people are talking about often in the software industry, and it is becoming even more popular day after day. Media is filled with many fancy machine learning related words: deep learning, OpenCV, TensorFlow, and more.
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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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3 Oct 2020
Sandeep Mewara
A detailed look at how to deduce insights using Matplotlib with real world examples.
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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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27 Jun 2021
KristianEkman
How to build an AI which plays Backgammon
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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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16 Dec 2015
Jesús Utrera
Using text retrieval TF-IDF technique to rank tokens in a text document
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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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24 Nov 2017
Nikola M. Živković
Common neural network activation functions
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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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16 Nov 2019
Bahrudin Hrnjica
In this article, we are going to explore the main features in the new C# Juypter Notebook.
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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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10 Jul 2016
Simon Jackson
Technology it seems is moving ever faster and faster, especially in the world of Artificial Intelligence and Machine Learning.  Barriers to entry are breaking down and huge cloud offerings from all the major suppliers are popping up left right and center.  We see these on our devices (Siri, Cortana,
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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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24 Mar 2017
Rob Kraft
An overview of the techniques that can be used to damage the most popular AI in use today, neural networks
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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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8 May 2014
Jake Drew
Introduction The purpose of this article is to demonstrate how the practical Data Scientist can implement a Locality Sensitive Hashing system from start to finish in order to drastically reduce the search time typically required in high dimensional spaces when finding similar items.
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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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21 Oct 2016
marcus obrien
Computer engineering and the hidden neural network brain in the Arduino 101
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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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20 Jun 2017
Dave Ceddia
If you are learning React, start small
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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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1 Dec 2011
Yvan Rodrigues
This is called an assembler. An assembler converts mnemonics and opcodes to binary machine language.An assembler targets a specific microprocessor or microcontroller, so the one you need will depend on the processor on which the code needs to run.If I assume you're targeting Intel x86...
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4 Apr 2016
Mr. xieguigang 谢桂纲
R API for drawing venn diagram in VisualBasic
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22 Nov 2017
Bahrudin Hrnjica
How to setup learning rate per iteration in CTNK using C#
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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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29 Jun 2021
Marcelo Ricardo de Oliveira
In this article we explore Azure Synapse Analytics and some of its features.
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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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1 Dec 2011
BrainlessLabs.com
If you want an API to do it, you can use a just in time API. https://developer.mozilla.org/En/Nanojit[^]http://code.google.com/p/asmjit/[^]http://code.google.com/p/blitjit/[^]These are a few examples of the program.
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23 Jun 2014
Henry Tan Setiawan
A short tutorial to visualize high dimensional data (vector) using t-SNE, Barnes-Hut-SNE, and Clusplot in R
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20 Jan 2015
Jake Drew
What makes a computer blistering fast?  The answer really depends on what you want to do with it and can even be quite complex depending on your requirements.  Take for instance bitcoin mining.
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9 Mar 2015
CHill60
This the wrong forum for conducting research.I suggest that you will get a better response from google[^]
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26 Nov 2015
Jon Shern
Data Analysis with Python – The Tools and the Data
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17 May 2016
Matt T Heffron
Yes there are SVM libraries.Bing search of "libsvm csharp" gives over 10,000 results (how many are useful?).There are SVM implementations for use in .NET applications.I suspect there are examples on using them.If you really want to learn about Machine Learning and Classification...
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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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25 Aug 2017
Patrice T
Quote: Is there a form of lazy evaluation where a function (like mean) returns an approximate value when operating on arrays NO, it is a matter of common sense. Mean calculation the algorithm adds all values and divide total by number of values. And it gives exact answer, always, no matter what...
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14 Nov 2017
Bahrudin Hrnjica
How to train Iris data by batch using CNTK and C#
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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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2 Jul 2021
Marcelo Ricardo de Oliveira
In this article we explore how data science and business intelligence teams can use Azure Synapse Analytics data to gain new insight into business processes.
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17 Dec 2010
OriginalGriff
First, they learn the principles of coding.Then they learn to use the grey matter between their ears.Finally, they learn it is not a good idea to advertise themselves as wanna-be hackers on a professional coding website...
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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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6 Oct 2014
pi19404
In this article we will look at how to use Git Subtree Tool to split a sub-directories of a project into separate project
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3 Dec 2014
Richard MacCutchan
Compare each input digit to the value 1 and if it is greater then put a message and ask for it again. You could simplify things by creating a subroutine to do the collecting of the numbers which you call by: LEA DX, PROMPT_2 ; load and display the string PROMPT_2 ...
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27 Feb 2015
Peter Leow
Check this out:Assembly Programming Tutorial[^]
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14 May 2015
ZurdoDev
Any internet browser can execute html and javascript even if it is on the local machine. So, yes, you could do it all with notepad if you wanted to.
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5 Jan 2016
Bill Wagner
In this post, I look at the areas where I will invest my time in the coming year.
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17 Feb 2016
Jochen Arndt
There are two problems here:Identify the format.Define the parsing method.The main problem is the first one because there are different formats where some parts may be not present and there may be multiple authors. To know about commonly used formats, search the web for "scientific...
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17 Feb 2016
Sascha Lefèvre
I don't have a whole solution for you but two suggestion which, I think, could be helpful:1) As Jochen suggested, you could check different formats. You could implement those checks in a way that they don't produce a plain true/false but a certainty of a match (e.g. a float value between 0...
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28 Apr 2016
Andy Allinger
Convert .txt files to .bow in one Linux shell command
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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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22 Jul 2017
OriginalGriff
Start by going back to their website Accord.NET Machine Learning Framework[^] and follow the "read the manual" link. That's a little sparse, but it gives you links to a "getting started guide" and a sample application. Start there, and if that isn't enough the full documentation is available on...
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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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24 Jul 2019
Gerry Schmitz
Computers are still not "human". There is no "learning" without (initial) "training" (data) in the case of "artificial intelligence". Note the absence of "knowledge" in that phrase. We can train ourselves and gain knowledge; computers not so much. Without knowing cause and effect (i.e....
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24 Jul 2019
Afzaal Ahmad Zeeshan
Quote: the way to label it We can start here. Computer algorithms need enough data to perform their tasks. In machine learning, the learning tasks are categorized as supervised or unsupervised. In supervised learning you provide the data with independent and dependent variables; your input...
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5 Dec 2019
Bahrudin Hrnjica
Predictive maintenance on .NET platform
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16 Jan 2020
Alon Lek
Find the best way to predict column value based on other columns, quickly and simply
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19 Feb 2020
Rion Williams
Transformation on numerous fronts with just a few months of exposure to Kafka technology
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25 Mar 2020
Coding Notes
How to create a linear regression model from scratch using TensorFlow 2.0
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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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4 Sep 2020
Richard MacCutchan
You probably need to get some formal mathematics teaching for this. Talk to your teacher to see what is available, or try your local bookstore or library. [edit] I see from your previous question that you wanted to learn game development, which...
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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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4 Feb 2021
Dave Kreskowiak
Short answer: No. The problem with what you want to do is the naïve notion of "one AI to rule them all". AI's have to be trained on a dataset to teach them about the data they are looking at. There is no one dataset or AI to predict the next...
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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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20 May 2021
Jarek Szczegielniak
There are many different types of algorithms in machine learning. Among others, you have supervised, unsupervised and reinforcement learning tasks. Each of these types have different input and output requirements. Classification and regression...
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13 Jan 2021
Gerry Schmitz
ML typically doesn't do "substitutions". You would need to "classify" a word / letter based on context and then make the substitution. If you've worked with "spelling checkers", you would know that even Word has trouble with context. You, in...
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9 Jul 2021
Shweta Lodha
Ways to extract information from sales receipt and detailed demonstration of how to use pre-built ML models
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22 Jul 2021N
MehreenTahir
In this article we learn about how Azure Synapse Analytics and Azure Machine Learning help analyze data without extensive coding and ML experience.
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23 Jul 2021N
MehreenTahir
In this article we jump right into setting up an Azure Synapse workspace and Azure Synapse Studio to prepare for our machine learning analysis in the next article in the series.
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26 Jul 2021N
MehreenTahir
In this article we explore how to enrich our data using a pre-trained model and trigger an Auto ML experiment from a Spark table.