Welcome to the first article of Introduction to Machine Learning Series. You can continue reading about the Perceptron Algorithm after this one. What are Cognitive Algorithms? An algorithm is: a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer. We can perform calculations, automate tasks or …

# Category: Artificial Intelligence

## Introduction to Machine Learning – Perceptron Algorithm

Perceptron algorithm is one of the ground breaking improvements in Machine Learning, especially in Supervised Learning. It was invented in 1958 by Rosenblatt and still used as the basis of very powerful algorithms like Neural Networks. The main idea behind it, is a simple Optimization Problem. The following description belongs to Perceptrons, but it tells …

## Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, What is CycleGAN?

The paper offers a technique called CycleGAN, which claims to achieve image-to-image translation without paired data sets,whereas in classical methods like pix2pix, a paired training dataset is required, ie. winter and summer pictures of thousands of landscapes, and provided such dataset, with pix2pix a model can be trained to translate a given test dataset, say …

## Support Vector Machines(SVM) in 60 Seconds

SVM is a modified version of Perceptron, which can handle data set that are not linearly separable. To do that, we need to represent our data in a higher dimension. SVM is an algorithm to choose the dimensions we use to represent our dataset. A normal perceptron stops when it hits the first plausible solution, …