These are some of the most common pre-trained in several computer vision problems to provide a good base to the problem at hand.

The article discusses the number of ways in which NLP techniques like sentimental analysis, chatbot assistants can be handy in the world of Finance.

With the pacing technology, the concept of Quantum Computing and Machine Learning have been molded together to solve the greatest problems of computing and Artificial Intelligence in the form of Quantum Machine Learning!

Ever interacted with a chatbot? Yes, probably you have, whether you realized it or not. You might have visited any healthcare/educational website, and noticed a chat-window pop-up on your screen, asking you for details, about your visit to their website.

The decision tree algorithms make use of different ASMs to divide a node and use the Gini index to formulate the pathway to weigh in the information gain.

To develop and upgrade your skills in Artificial Intelligence, the Microsoft AI Classroom Series is a quick and effective start!

Are you preparing for a data science interview? If you are, then this blog will introduce you to one of the most commonly asked interview questions, with a detailed explanation.

A Market Research that gives a global perspective on the market size, trends, forecast, and growth on Deep Learning, the companies using it extensively and the countries which are market leaders in it.

The globally top-ranked supercomputer - Param Siddhi – AI has been a remarkable combination of Supercomputers and Artificial Intelligence, giving a platform for various such developments!

This article delves into the basics of image processing using ANN, very useful for a beginner to gain insight into this technique.

KNN is one of the basic supervised learning algorithm used for classification. By the end of this article, you will easily start applying KNN on various datasets.

Computer vision technology is everywhere in a person’s routine. For example, filtered photographs are found everywhere in our social media...

A useful unsupervised learning algorithm for dimensionality reduction. After you are through with this article you will easily be able to get good conceptual clarity of PCA.

This article will introduce you to Unsupervised Learning and will help you gain a proper conceptual understanding of K-Means Clustering.

In this article, you will learn how this algorithm works, how it’s efficient when compared to other algorithms, and how to implement it.

This article will conceptualize the definition of machine learning and the uses/applications of Machine learning in the real world.

This article tells us how data science is used for effective decision-making in industries and corporate...

Have you ever wondered how these software’s work and what is the mathematics behind these libraries? Check this article out to understand conceptually.

This matrix is really confusing or just to assist us in removing our confusion. We will deep dive into this article.