Do we need AutoML… or AutoDM (Automated Data Management)?
Instead of focusing on “Automated Machine Learning” or AutoML, maybe we should focus on “Automated Data Management” or AutoDM? You probably know that feeling. You
Instead of focusing on “Automated Machine Learning” or AutoML, maybe we should focus on “Automated Data Management” or AutoDM? You probably know that feeling. You
Machine learning is a field that has emerged out of numerous innovations in computational sciences, spanning centuries. So, can a machine learning enthusiast skip linear
The choice of data entirely depends on the problem you’re trying to solve. Picking the right data must be your goal, luckily, almost every topic
There has been a 14-times increase in the amount of Artificial Intelligence (AI) start-ups launching since the turn of the century, according to a study
Most people in the deep learning and computer vision communities understand what image classification is: we want our model to tell us what single object
The goal of the Internet of Things (IoT) is to acquire data from various embedded systems and impart analytical processes on that data to improve
Natural Language Processing (NLP) has long been one of the holy grails of computer science. While we all know that computers are better than humans
In this article, I cover the 12 types of AI problems i.e. I address the question :Â in which scenarios should you use Artificial Intelligence (AI)?
Unstructured data — data that is not organized in a predefined way, such as text — is now widely available. But structure must be added
In my earlier articles, I had discussed about about application of Big data for gathering Insights on green revolution and witnessed about a research work