Category: Big Data

I, like many others, am constantly frustrated by the sensationalist use of terminology in data science. Twitter user @xaprb neatly summed up my own feelings when he tweeted When you’re fundraising, it’s AI [Artificial Intelligence]. When you’re hiring, it’s ML [Machine Learning]. When you’re implementing, it’s linear regression. When you’re debugging, it’s printf(). As someone […]

“Big” was not always the adjective that would go with “Data” to describe its complexity and size. Towards the end of last decade, along with the popularity of Hadoop ecosystem, the term Big Data became mainstream. People started using it to classify data which was complex enough to require a cluster (like a Hadoop ecosystem) […]

One of the products Microsoft introduced at their 2018 Build conference was an open source, cross-platform machine learning framework for .NET developers. ML.NET will …allow .NET developers to develop their own models and infuse custom ML into their applications without prior expertise in developing or tuning machine learning models. Democratisation of machine learning—-i.e. enabling people […]

APIs for Machine Learning and Artificial Intelligence Almost paradoxically, software development tends to become easier the more advanced and sophisticated tasks become. In the recent past, AI development was a test not only of programming chops but also of the developer’s understanding of sophisticated algorithms. However, the explosion of interest in artificial intelligence in recent […]

“Nobody wants to show you the hours and hours of becoming. They’d rather show the highlight of what they’ve become. – Angela Duckworth author of “Grit: Passion, Perseverance, and the Science of Success” In my career, I have been very blessed with opportunities, life lessons and having mentors support me in pursuing my passion. I […]