If you team is evaluating privacy-preserving synthetic data, three factors will usually come into consideration: Does synthetic data solve my problem? Does the technology...
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...
Summary: As we have become ever more enamored with DNNs, and their accuracy and utility has been paced only by their complexity we will need to answer the question of whe...
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...
Note: This is a blog that I wrote back in 2014, but seems even more apropos given all the discussions about the use of technology to achieve digital transformation. Botto...