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Category Archives: Machine Learning

An outlier is an object that deviates significantly from the rest of the objects. They can be caused by measurement or execution error. The analysis… Read More
Multinomial Naive Bayes (MNB) is a popular machine learning algorithm for text classification problems in Natural Language Processing (NLP). It is particularly useful for problems… Read More
Machine Comprehension is a very interesting but challenging task in both Natural Language Processing (NLP) and artificial intelligence (AI) research. There are several approaches to… Read More
Linear Regression is a supervised learning algorithm used for computing linear relationships between input (X) and output (Y). The steps involved in ordinary linear regression… Read More
Classification and Regression are two major prediction problems that are usually dealt with in Data Mining and Machine Learning.  Classification Algorithms Classification is the process… Read More
TextBlob module is used for building programs for text analysis. One of the more powerful aspects of the TextBlob module is the Part of Speech… Read More
Lemmatization is the process of grouping together the different inflected forms of a word so they can be analyzed as a single item. Lemmatization is… Read More
TextBlob module is a Python library and offers a simple API to access its methods and perform basic NLP tasks. It is built on the… Read More
Feature selection is also known as attribute selection is a process of extracting the most relevant features from the dataset and then applying machine learning… Read More
Live face-recognition is a problem that automated security division still face. With the advancements in Convolutions Neural Networks and specifically creative ways of Region-CNN, it’s… Read More
Attention is all you need! was a research paper that first introduced the transformer model in the era of Deep Learning after which language-related models… Read More
Image classification is a method to classify way images into their respective category classes using some methods like :   Training a small network from scratch… Read More
Prerequisites: Understanding Logistic Regression and TensorFlow. Brief Summary of Logistic Regression: Logistic Regression is Classification algorithm commonly used in Machine Learning. It allows categorizing data… Read More
Ever noticed how the news feeds of the multitude social networking sites and applications differ drastically from one person to another? Each feed seems to… Read More
Whenever a user searches for particular information on the internet, multiple results are returned which are explained in variety ways. It becomes difficult and time-consuming… Read More