As I learn about data privacy, I’m starting to realize how large the ecosystem is. I focused here on a category that spans across the data privacy landscape, Privacy E...
Just as important as what models you build, is the question of what you do with those models, where and how your models get deployed and once deployed, how you monitor th...
When it comes to running a successful business, every organization strives to find the most efficient strategy possible. With that being said, it’s important that busin...
A summary of the book “Introduction to Statistical Learning” in jupyter notebooks Whenever someone asks me “How to get started in data science?”, I usually recomm...
In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the best fit for our data. When we chose the KNN a...
You’re a writer on AI, ML, or various and sundry other data-oriented TLAs, and you’d like to write an article for Data Science Central. Great! This article is...
Nvidia CEO Jensen Huang proposed an idea which the media has labelled ‘Huang’s law’ along the lines of Moore’s law. Moore’s predicts that the number of transi...
Your in-house data science team is not the exclusive source of AI/ML based improvements. Process Re-engineering is gaining new life as a way to optimize data processes....
Data Points There are a number of different terms used for probability in statistics. Each has a distinct (and usually precise) meaning. This article examines some of the...
Data drives decisions and, in today’s competitive business environment, the kind of fact-based decisions achieved through Advanced Analytics are mandatory. These data-d...