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Artificial Intelligence and Machine Learning

Great Reads

by Dirk Bahle
Solving the Classification problem with ML.Net Version 0.2.
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.
by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
by Gamil Yassin
This is a series of articles demonstrating .NET AI library from scratch

Latest Articles

by Dmitriy Gakh
An introduction to Genetic Algorithms with brief reference to biology and example of finding one solution for complex mathematical equation.
by Philipp_Engelmann
As one of the oldest and easiest Machine Learning algorithms, implementing Simple Linear Regression can be an eye-opening and rewarding experience for anyone new to Machine Learning, Deep Learning and AI. In this tutorial, we are going to implement Simple Linear Regression in Rust.
by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
by Christ Kennedy
an exhaustive search of all game-states used to trace Mini-Max decisions from End game up through to Start game

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