In this post, you will learn about supervised machine learning, and find out how genetic algorithms can be used to improve the performance of machine learning models by selecting the best subset of features from the provided input data. Along the way, you will get acquainted with the real-life ‘Zoo’ dataset and discover how to utilize Python code to create a…
Tag: Artificial Intelligence
Neural Networks Fundamentals
Prerequisites: Introduction to Supervised Learning. Inspired by the structure of the human brain, Neural Networks are among the most commonly used models for supervised learning tasks. The building blocks of these networks are simple ‘cells’, or ‘neurons’, which can be interconnected in various ways. Perceptron A single neuron has multiple inputs and a single output, and can be represented by…
Introduction to Supervised Learning
Prerequisites: None. What is Machine Learning? When we say, ‘Machine Learning’, the ‘Machine’ part usually insinuates a computer program that receives inputs and produces outputs. We often refer to this program as the ‘model’. Our goal is to ‘train’ that model to produce the correct outputs for given inputs, without explicitly programming it for that particular set of inputs. During…