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machine-learning

A collection of 3 posts
Getting started with KNN and C#
machine-learning

Getting started with KNN and C#

K-Nearest Neighbors (k-NN) regression is a simple yet effective technique for predicting numeric values. This post demonstrates how to implement k-NN regression in C# from scratch. For simplicity, we use a small synthetic dataset: double[][] trainData = new double[][] {     new double[] {1.0, 1.1, 100.0},     new double[] {2.0,
Feb 4, 2025 2 min read
DALL-E Art-Generator with C# .NET
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DALL-E Art-Generator with C# .NET

In this blog post, we will explore the steps to develop a C# application using DALL-E model to generate images from text.
Apr 15, 2023 5 min read
Começando com Machine Learning - Escrevendo um Perceptron
machine-learning

Começando com Machine Learning - Escrevendo um Perceptron

Você sabe o que é um Perceptron? Perceptron é um dos building blocks (componentes) da rede neural feed foward. Uma rede neural é essencialmente baseada em N Perceptrons. Segundo wikipedia: In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function
Nov 2, 2019 13 min read
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