
Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc. They all aim to generate specific […] Read More
Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc. They all aim to generate specific […] Read More
Text analysis, as a whole, is an emerging field of study. Fields such as Marketing, Product Management, Academia, and Governance are already leveraging the […] Read More
Named Entity Recognition is a process where an algorithm takes a string of text (sentence or paragraph) as input and identifies relevant nouns (people, places, and […] Read More
Web 2.0 revolution has led to the explosion of content generated every day on the internet. Social sharing platforms such as Facebook, Twitter, Instagram etc. […] Read More
Introduction One of Machine Learning’s most successful paradigm is supervised learning which lets you build a generalization model by learning from a lot of training […] Read More
Digitization has changed the way we process and analyze information. There is an exponential increase in online availability of information. From web pages to emails, […] Read More
Visual aesthetics has been shown to critically affect a variety of constructs such as perceived usability, satisfaction, and pleasure. However, visual aesthetics is also a […] Read More
In our previous blog post of Visual Analytics we discussed Instagram’s #gopro hashtag using AI. In this blog post, we will be exploring #Kendrick Lamar on […] Read More
Images have become a very common medium of human expression on the internet with the coming up of social networks. Facebook is the biggest repository […] Read More
There is certainly no doubt that the ultimate future of AI is to reach and surpass human intelligence. But this is a far-fetched feat to […] Read More
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