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

Fire Simulation and Prediction by Markov Chain Monte Carlo

5 Jun 2017 by Mahsa Hassankashi

phenomenon prediction and simulation by Markov Chain Mont Carlo

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.

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

.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

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

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

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

.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

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?

.NET

machine-learning

algorithm

Ranking Tokens using TF-IDF in C#

16 Dec 2015 by Jesús Utrera

Using text retrieval TF-IDF technique to rank tokens in a text document

Common Neural Network Activation Functions

24 Nov 2017 by Nikola M. Živković

Common neural network activation functions

artificial-intelligence

machine-learning

neural-network

C# Jupyter Notebook

16 Nov 2019 by Bahrudin Hrnjica

In this article, we are going to explore the main features in the new C# Juypter Notebook.

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?

Malware for Neural Networks: Let’s Get Hacking!

24 Mar 2017 by Rob Kraft

An overview of the techniques that can be used to damage the most popular AI in use today, neural networks

artificial-intelligence

machine-learning

neural-network

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?

Bezier Curve Machine Learning with MS CNTK

3 Sep 2018 by asiwel

Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB

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

Injecting Intelligence – Building Apps using Microsoft Cognitive Services

10 Jul 2016 by Simon Jackson

How to build apps using Microsoft Cognitive Services

machine-learning

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.

Computer Engineering and the Hidden Neural network brain in the Arduino 101

21 Oct 2016 by marcus obrien

Computer engineering and the hidden neural network brain in the Arduino 101

artificial-intelligence

neural-network

machine-learning

microcontroller

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

Learning React? Start Small.

20 Jun 2017 by Dave Ceddia

If you are learning React, start small

artificial-intelligence

machine-learning

neural-network

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

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

CNTK Model Concurrency Demonstration

1 Oct 2018 by asiwel

How to Deploy Trained Models Concurrently

XML

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.

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

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

Get a job on machine learning based on skills only

14 Jan 2022 by CHill60

How would we know? We are not the company that you have applied to. If you have skills and have already had experience in other jobs then they may take that into account. You could have a first class Honours Degree in a relevant subject and...

machine-learning

Practical Applications of Locality Sensitive Hashing for Unstructured Data

8 May 2014 by Jake Drew

Locality Sensitive Hashing for Unstructured Data

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

C program which accepts assembly program and gives binary program

1 Dec 2011 by 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...

ASM

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

How to Setup Learning Rate Per Iteration in CTNK using C#

22 Nov 2017 by Bahrudin Hrnjica

How to setup learning rate per iteration in CTNK using C#

artificial-intelligence

machine-learning

neural-network

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

.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.

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.

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

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

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.

Visual-Studio

Dev

machine-learning

C program which accepts assembly program and gives binary program

1 Dec 2011 by 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.

ASM

machine-learning

Visualization of High Dimensional Data using t-SNE with R

23 Jun 2014 by Henry Tan Setiawan

A short tutorial to visualize high dimensional data (vector) using t-SNE, Barnes-Hut-SNE, and Clusplot in R

dotnet-nuke

machine-learning

What are supervised machine learning classification algorithms?

9 Mar 2015 by CHill60

This the wrong forum for conducting research.I suggest that you will get a better response from google[^]

machine-learning

algorithm

Data Analysis with Python – The Tools and the Data

26 Nov 2015 by Jon Shern

Data Analysis with Python – The Tools and the Data

All-Topics

machine-learning

Build Recap

3 Apr 2016 by Bill Wagner

Build recap

artificial-intelligence

All-Topics

docker

machine-learning

Training a support vector machine in C# for character recognition

17 May 2016 by 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...

image-processing

machine-learning

training

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.

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.

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.

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

Is there a form of lazy evaluation where a function (like mean) returns an approximate value when operating on arrays

25 Aug 2017 by 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...

machine-learning

optimization

Train Iris Data by Batch using CNTK and C#

14 Nov 2017 by Bahrudin Hrnjica

How to train Iris data by batch using CNTK and C#

.NET

CNTK

machine-learning