DSC Podcast Series: Machine Learning: 10 Exciting Developments
In this latest Data Science Central podcast, you will hear about how SAS is accelerating the machine learning lifecycle from data preparation, to model building, and to d...
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The Startup Founder’s Guide to Analytics
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...
The Two (Conflicting) Definitions of AI
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 ...
How To Become A Successful R Programmer?
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...
Applying Machine Learning Techniques in Quantitative Finance
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...
New Book: Machine Learning with R
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...
The Hundred-Page Machine Learning Book
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...
Things that Aren’t Working in Deep Learning
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...
R, Python, SQL, etc. Steve Miller's Retrospective.
Steve has 40 years experience in consulting services surrounding BI, statistics, analytics, and data science. His most recent position was President of Inquidia Consulti...
Matching the Exact Matching of MatchIt
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...