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 ...
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...
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...
Summary: This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren’t working yet. This can be a guide to calmi...
Steve has 40 years experience in consulting services surrounding BI, statistics, analytics, and data science. His most recent position was President of Inquidia Consulti...
I started a series on causal inference for data science a few weeks back. I think CI methodologies offer great potential for the DS discipline, given that much of our d...
Two former CAOs Make a Compelling Case for the CAO to Report to the CEO to build out an AI and Data Science Accountability COE. Anthony Branda, MBA, Ph.D., Kevin Kramer...
Summary: This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren’t working yet. This can be a guide to calmin...