This article was written on OpenAI. We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenge...
Python is one of the most popular modeling languages in the world, and yet more than half of the time, developers fail to deliver their advanced analytics to the business...
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...
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...
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....
Hello fellow Data Science-Centralists! I wrote a post on my LinkedIn about why you should NEVER run a Logistic Regression. (Unless you really have to). The main thrust is...
Are people across your business capturing metrics – but can’t say exactly why? Are KPIs poured into reports, but too few are understood? When KPIs do get discussed, d...
With more and more people getting conversant in analytics, its demand in every field becoming more pronounced. Product is no different. It is almost inevitable to introdu...