What statisticians think about data scientists
Interesting to read what some statisticians write about data science, on the American Statistical Association (ASA) blog. Most of us don’t care about our job title...
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Year in Review: Deep Learning Breakthoughts 2016
Today we are featuring the year’s most interesting breakthroughs in deep learning that we have been fawning over at Grakn Labs. (For those of you who are interested in ...
DSC Webinar Series: The Past, Present and Future of Data Science A Live Roundtable
This latest Data Science Central Webinar was recorded from a live roundtable discussion with the introduced members of the Pivotal Data Science team. This is a truly uniq...
Stacking models for improved predictions: A case study for housing prices
This blog was originally published on my website. If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predi...
R, Python or SAS: Which one should you learn first?
Python, R and SAS are the three most popular languages in data science. If you are new to the world of data science and aren’t experienced in either of these languages...
Data Science is Cooking!
Most people think data science is smart people doing very smart stuff. Well that’s not it. Data science is just another subject involving its own bit of subtle complexi...
Two Hot Growth Areas for IoT
Summary: If you want to capitalize on all the amazing advancements in data science take a look at these two hot growth areas for IoT. It’s likely that these wil...
What Is the Future of Data Warehousing?
There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesse...
Scraping with 300 req/sec in R? Yes you can!
Try the new non-blocking http API in curl 2.1: R sitemap example, Jeroen Ooms, 2016 This code demonstrates the new multi-request features in curl 2.0. It creates an inde...
Introducing a Graph-based Semantic Layer in Enterprises
Originally posted on Data Science Central Things, not Strings Entity-centric views on enterprise information and all kinds of data sources provide means to get a mor...