Summary: Python’s open-source and high-level nature, as well as its comprehensive libraries, make it the perfect fit to solve the numerous real-life ML challenges. The ...
Summary: Artificial General Intelligence (AGI) is still a ways off in the future but surprisingly there’s been very little conversation about how to measure if we’r...
Before I kick off this new blog, I’m happy to announce the release of my 3rd book” “The Art of Thinking Like A Data Scientist”. This book is designed to be ...
Those of us who were data science practitioners before the ubiquity of buzz words like “Fourth Industrial Revolution”, remember a time when data science was being des...
Summary: Are you wondering about moving up to Automated Machine Learning (AML)? Here are some considerations to help guide you. Are you wondering about moving up to Aut...
In “Importance of Thinking Differently…Hint: Don’t Pave the Cow Path”, I introduced the concept of the “3 Horizons of Digital Transformation.” I wanted to p...
“The first thing you need to do is get all the data in the same place”. We all remember the mantra that launched a thousand painful IT projects. The argument was that...
Please Join this latest Data Science Central podcast to learn how you can develop machine learning models from an analytics base table and move that model to the edge for...
Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an environment as fast ...
Introduction “The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions”. Marvin Min...