Today’s Machine Learning algorithms can be broadly classified into three categories, Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Casting Reinforced Learning aside, the primary two… Read More
Category Archives: Machine Learning
Anomaly Detection is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations.… Read More
In 2017, it was reported that Facebook closed it’s AI Wing after an experiment which involved two chatbots. The media blew the news out of… Read More
In today’s times, Machine Learning is a technology that is being used in more industrial domains than ever before. One of the primary uses of… Read More
Prerequisites: Introduction to NLPWhenever we have textual data, we need to apply several pre-processing steps to the data to transform words into numerical features that… Read More
A dummy classifier is a type of classifier which does not generate any insight about the data and classifies the given data using only simple… Read More
Prerequisite: K-Nearest Neighbours Algorithm K-Nearest Neighbors is one of the most basic yet essential classification algorithms in Machine Learning. It belongs to the supervised learning… Read More
While developing machine learning models you must have encountered a situation in which the training accuracy of the model is low but the validation accuracy… Read More
Prerequisite: Linear Regression Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value… Read More
Internet of Things (IoT) has been a hot topic among people for quite a while now. Although it hasn’t imploded just yet, but it surely… Read More
Logistic Regression and Decision Tree classification are two of the most popular and basic classification algorithms being used today. None of the algorithms is better… Read More
“Computers are able to see, hear and learn. Welcome to the future.” And Machine Learning is the future. According to Forbes, Machine learning patents grew… Read More
Prerequisite: Create a Virtual Machine and setup API on Google Cloud In this article, we will discuss how to use Google’s Translation and Natural Language… Read More
Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of the angle between them.… Read More
Prerequisite – Rough Set Theory The main goal of the rough set analysis is the induction of approximations of concepts. Rough sets constitute a sound… Read More
