Outliers are patterns in data that do not confirm to the expected behavior. While detecting such patterns are of prime importance in Credit Card Fraud, Stock Trading etc....
Let’s look at several techniques in machine learning and the math topics that are used in the process. In linear regression, we try to find the best fit line or hyperpl...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
The work is done by Jatinder Singh (also co-authored this article) and Iresh Mishra. Also thanks to Saurabh Singh for his guidance. In past, I had written about how ...
This article was written by Lukasz Ciesla Neural networks, machine learning, artificial intelligence – I get the impression that these slogans attack us from everywher...
English is becoming the official language in the global business world, being currently spoken by approximately 1.75 billion people worldwide according to Harvard Busines...
Ethics in machine learning are what comes to mind when we imagine a worst case scenario in the context of artificial intelligence. As an example, we can think of HAL 9000...
When talking to clients about their business goals, most business executives are pretty clear as to what they want to accomplish, such as reducing customer churn or reduc...
Introduction: Alex Krizhevsky, Geoffrey Hinton and Ilya Sutskever created a neural network architecture called ‘AlexNet’ and won Image Classification Challenge (ILSVR...