This article was written by Tristan Handy. This post is about how to create the analytics competency at your organization. It’s not about what metrics to track (there a...
Summary: There are two definitions currently in use for AI, the popular definition and the data science definition and they conflict in fundamental ways. If you’re ...
Every day, we create 2.5 quintillion bytes of data and over the last two years alone, we have created over 90% of the world’s data! The amount of data we produce is sta...
There are transformative technologies in the world today with consistent effect and reliability in their promise to alter or change the ecosystem. Industries have transfo...
R is a software programming language developed in 1993. In New Zealand, two professors of Auckland University Ross Ihaka and Robert Gentleman first conceived R. The mos...
The information technology (IT) infrastructure in traditional organizations, particularly in the insurance industry, typically contains three components: 1) the legacy sy...
Two weeks ago, I was invited to present about Machine Learning and its applications in Quantitative Finance at a conference in London, UK. Without a break, I went through...
Independently published (November 20, 2018). 78 pages. This book intends to provide an overview of Machine Learning and its algorithms & models with help of R softwar...
New book, in progress. By Andriy Burkov, Machine Learning Team Leader at Gartner. The following chapters are currently available: Foreword Chapter 1: Introduction Part I...
Big data is all the rage, but simply collecting it won’t help much. These data visualization tools help you make sense of it all. The rise of big data has ushered i...