Introduction : Artificial Intelligence (AI) and Machine Learning (ML) are two closely related but distinct fields within the broader field of computer science. AI is… Read More
Category Archives: Machine Learning
Prerequisite: K nearest neighbors Introduction Say we are given a data set of items, each having numerically valued features (like Height, Weight, Age, etc). If… Read More
It is recommended to understand Neural Networks before reading this article. In the process of building a neural network, one of the choices you get… Read More
In artificial intelligence, an agent is a computer program or system that is designed to perceive its environment, make decisions and take actions to achieve… Read More
Prerequisite : Introduction to Artificial Neural Network This article provides the outline for understanding the Artificial Neural Network. Characteristics of Artificial Neural Network It is… Read More
ANN learning is robust to errors in the training data and has been successfully applied for learning real-valued, discrete-valued, and vector-valued functions containing problems such… Read More
The introduction to clustering is discussed in this article and is advised to be understood first. The clustering Algorithms are of many types. The following… Read More
Introduction to Clustering: It is basically a type of unsupervised learning method. An unsupervised learning method is a method in which we draw references from… Read More
This article demonstrates an illustration of K-means clustering on a sample random data using open-cv library. Pre-requisites: Numpy, OpenCV, matplot-lib Let’s first visualize test data… Read More
Reinforcement Learning : Reinforcement Learning is a type of Machine Learning. It allows machines and software agents to automatically determine the ideal behavior within a… Read More
The article is about creating an Image classifier for identifying cat-vs-dogs using TFLearn in Python. The problem is here hosted on kaggle. Machine Learning is… Read More
A decision tree is a type of supervised learning algorithm that is commonly used in machine learning to model and predict outcomes based on input… Read More
Hill climbing is a simple optimization algorithm used in Artificial Intelligence (AI) to find the best possible solution for a given problem. It belongs to… Read More
This article will introduce you to graphing in Python with Seaborn, which is the most popular statistical visualization library in Python. Installation: The easiest way… Read More
What is Regression and Classification in Machine Learning? Data scientists use many different kinds of machine learning algorithms to discover patterns in big data that… Read More
