# Tag Archives: Machine Learning

## Difference between Machine learning and Artificial Intelligence

Artificial Intelligence and Machine Learning are the terms of computer science. This article discusses some points on the basis of which we can differentiate between… Read More »

## Implementation of K Nearest Neighbors

Prerequisite : K nearest neighbours Introduction Say we are given a data set of items, each having numerically valued features (like Height, Weight, Age, etc).… Read More »

## Agents in Artificial Intelligence

Artificial intelligence is defined as study of rational agents. A rational agent could be anything which makes decisions, like a person, firm, machine, or software.… Read More »

## Introduction to Artificial Neural Network | Set 2

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 »

## Introduction to Artificial Neutral Networks | Set 1

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 »

## Different Types of Clustering Algorithm

The introduction to clustering is discussed in this article ans is advised to be understood first. The clustering Algorithms are of many types. The following… Read More »

## Clustering in Machine Learning

Introduction to Clustering It is basically a type of unsupervised learning method . An unsupervised learning method is a method in which we draw references… Read More »

## Analysis of test data using K-Means Clustering in Python

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 »

## Markov Decision Process

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 »

## Image Classifier using CNN

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 »

## Decision Tree Introduction with example

Decision tree algorithm falls under the category of the supervised learning. They can be used to solve both regression and classification problems. Decision tree uses… Read More »

## Introduction to Hill Climbing | Artificial Intelligence

Hill Climbing is heuristic search used for mathematical optimization problems in the field of Artificial Intelligence . Given a large set of inputs and a… Read More »

## Plotting graph using Seaborn | Python

This article will introduce you to graphing in python with Seaborn, which is the most popular statistical visualization library in Python. Installation : Easiest way… Read More »

## Regression and Classification | Supervised Machine Learning

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 »

## Decision tree implementation using Python

Prerequisites: Decision Tree, DecisionTreeClassifier, sklearn, numpy, pandas Decision Tree is one of the most powerful and popular algorithm. Decision-tree algorithm falls under the category of… Read More »