How to Get a Start with a Career in Data Science

How to Get a Start w...

“The difference between the most dissimilar characters, between a philosopher and a common street porter, for example, seems to arise not so much from nature, as from habit, custom, and education.”  – Adam Smith,  An Inquiry into the Nature and Causes of the Wealth of Nations In this compelling Adam Smith quote phrase, we can replace […]

Interview with Ross Taylor, Founder of Throne AI

Interview with Ross ...

In a previous post, I wrote about Throne AI, a sports prediction platform or “Kaggle for sports.” If you’re a sports fan and interested in using your machine learning abilities to predict the outcome of sports matches, then I highly recommend you sign up for Throne AI. After becoming obsessed with the platform, I wanted […]

McKinsey’s Succinct AI Guide Helps Executives Quickly Understand

McKinsey’s Suc...

Day in and day out, news headlines, blog articles, Youtube channels and more feature the different ways in which technology regularly impacts various aspects of business. A keyword through all of the talk and noise is “AI.” The term, “artificial intelligence” might just be the buzzword of 2018. As the AI race continues and grows […]

Test-Driving Apache Superset

Test-Driving Apache ...

The Curious Case of Algo-Trading Dashboard For one of our recent internal projects, we needed a quick and easy way to showcase some first insights, do some plotting and interactive storytelling with the data. We also wanted to build a live, working dashboard in front of a (future) product – to serve as a demo. […]

The Six Stages of Computational Science

The Six Stages of Co...

This is the second in a series of articles related to computational science and education.  The first article is here. The Six Stages of Computational Science When I was in grad school, I collaborated with a research group working on computational fluid dynamics.  They had accumulated a large, complex code base, and it was starting to […]

Abysmal Project Failure Rates – DataOps to the Rescue for AI?

Abysmal Project Fail...

Reports like the Standish Group’s CHAOS paper point to the continually abysmal failure rate of software projects. Abysmal rates vary by report, of course, but all paint the same bleak picture. Most software projects fail by some critical measure, time, budget, quality or requirements. In the context of data science and AI projects, can we […]

IOTA – The Potential to Drive Data Science for IoT

IOTA – The Potenti...

I have a close circle of clued-on/tech savvy friends whose views I take seriously. For the last few weeks, one of these friends has been sending me emails extolling the merits of something called IOTA – which calls itself as the next generation Blockchain.  At first, I thought of IOTA as yet another cryptocurrency. A whole […]

Data Science for Good, Part 2

Data Science for Goo...

Introduction This is the second of a three-article series about Data Science for Good. This article introduces people, organizations, and projects that use data science for good. The first article explained what the idea of data science is about and how you can get involved in it. The third and last article will discuss resources […]

Director for the BDAU interviews the founder of the Open Data Science Conference in London

Director for the BDA...

On the 8th and 9th October, I had the opportunity to attend the Open Data Science Conference in London. In addition to the United Kingdom, the ODSC also occurs on both the East and West Coast of the US, as well as Tokyo. The 2-day conference had an array of speakers presenting problems and solutions […]