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artificial-intelligence

Great Reads

by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating recurrent ANNs and applying them to different tasks.
by Oana Mancu
Any deterministic game can be broken down to its core functionalities. By understanding them, one can implement fundamental algorithms such as Minimax (with alpha beta pruning), thus paving the way towards a better AI opponent.

Latest Articles

by Apriorit Inc, Semyon Boyko
Find out an easy way to use the pretrained Inception V3 neural network for video classification.
by Huseyin Atasoy
An image classifier / tagger based on convolutional neural networks
by Mahsa Hassankashi
Deep learning convolutional neural network by tensorflow python, complete and easy understanding
by 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.

All Articles

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artificial-intelligence 

7 Mar 2018
Arthur V. Ratz
In this article we'll discuss on how to produce user-to-item recommendations by using SVD++, Pearson Correlation and probability-based similarity computation
22 Mar 2019
Apriorit Inc, Vadym Zhernovyi
Learn more about the challenges we faced with dataset preparation and network configuration, and how these problems can be solved.
28 Oct 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
28 Sep 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
20 Dec 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating recurrent ANNs and applying them to different tasks.
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.
6 Feb 2018
raddevus
Entry in the Artificial Intelligence and Machine Learning Contest. Here's how I learned / guessed how to find spam.
22 Mar 2018
Scott Clayton
Build a recommendation system using collaborative filtering and matrix factorization.
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.
4 Mar 2018
sjb_strat
Create a Spam Filter Using Machine Learning
3 Apr 2019
Mahsa Hassankashi
Deep learning convolutional neural network by tensorflow python, complete and easy understanding
12 Feb 2018
Scott Clayton
Train a binary classifier in Azure and then use it in a C# application.
7 Mar 2019
Apriorit Inc, Semyon Boyko
How to use this Google service and the free NVIDIA Tesla K80 GPU to achieve your own goals in training neural networks
3 Apr 2019
Huseyin Atasoy
An image classifier / tagger based on convolutional neural networks
10 Dec 2018
Apriorit Inc, Vadym Zhernovyi
The experience of improving Mask R-CNN performance six to ten times by applying TensorRT
22 Jan 2019
KristianEkman
A cell by cell walkthrough of the maths of a Neural network
3 Mar 2018
Vince Chan
A walkthrough of common machine learning tasks - by building a Naive Bayes Spam Classifier using python and scikit-learn
11 Mar 2018
Arthur V. Ratz
In this article we’ll formulate and thoroughly discuss about probabilistic Bayesian classification algorithm and its implementation in Node.JS and JavaScript that can be actively used to detect and locate messages containing potential spam and other unsolicited data.
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.
23 Oct 2018
AJSON
Using a pre-configured environment on Azure to create a "ready to go" Deep Learning machine
27 Jan 2019
George Swan
A simple invincible implementation of Tic Tac Toe
12 Dec 2018
Christ Kennedy
An exhaustive search of all game-states used to trace Mini-Max decisions from End game up through to Start game
13 Mar 2019
Oana Mancu
Any deterministic game can be broken down to its core functionalities. By understanding them, one can implement fundamental algorithms such as Minimax (with alpha beta pruning), thus paving the way towards a better AI opponent.
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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