Added by William Vorhies on October 29, 2015 at 1:30pm — 3 Comments
This topic combines two of the most difficult or least understood ML techniques and challenges. Fraud detection invariably falls short of complete automatic detection because of the false positive rate and the need for at least some human intervention, typically on a case-by-case basis. Deep Learning, one of the most far flung borders of ML research utilizing neural net architecture but unsupervised model development.
Our friends at H2O University…
ContinueAdded by William Vorhies on October 27, 2015 at 12:19pm — 2 Comments
Guest blog from David Lefkowich
Almost every notable project we’ve completed with our clients over the past 3 years has had one major factor in common. Each originated from a complicated spreadsheet-driven data manipulation and reporting process that the company had outgrown. The corporate business needs evolved or expanded. Perhaps a new regulation or requirement came into effect, or an acquisition took place and new data needed to be integrated into the reporting process.…
ContinueAdded by William Vorhies on October 27, 2015 at 8:30am — 1 Comment
Added by William Vorhies on October 22, 2015 at 8:13am — 3 Comments
Summary: Stream Processing and In-Stream Analytics are two rapidly emerging and widely misunderstood data science technologies. In this article we’ll focus on their basic characteristics and some business cases where they are useful.
There are five relatively new technologies in data science…
ContinueAdded by William Vorhies on October 21, 2015 at 9:30am — 1 Comment
Guest blog by Alleli Aspili at Infinit Datum
Big data became more than a buzzword when industries discovered its huge potential. And with this finding, came a new science called data analytics.
The demand to understand all the…
ContinueAdded by William Vorhies on October 20, 2015 at 7:30am — No Comments
Added by William Vorhies on October 20, 2015 at 7:00am — No Comments
XKCD.com
If you’re fortunate enough to have a quantitative PhD, you may have thought about applying for an opening in data science. After all, it’s an exciting and well paid field and a lot of…
ContinueAdded by William Vorhies on October 19, 2015 at 7:29am — 3 Comments
This article is no longer available. We apologize for the inconvenience. To read more about data science and story telling, click here.
Added by William Vorhies on October 16, 2015 at 9:00am — 1 Comment
Guest blog by Greg Roberts at Packt Publishing
(to see this graph in its fully interactive form see http://gregroberts.github.io/)
I love Python, and to celebrate…
ContinueAdded by William Vorhies on October 14, 2015 at 8:18am — No Comments
Summary: Over 80% of companies are not yet using advanced analytics. Here’s a step-by-step plan to implement a brand new predictive analytics program getting the biggest bang for your buck from the most cost effective investment. Part 2.
ContinueAdded by William Vorhies on October 12, 2015 at 9:30am — No Comments
Added by William Vorhies on October 9, 2015 at 7:32am — 2 Comments
This article is no longer available. We apologize for the inconvenience. To read more about data science and game theory, click here.
Added by William Vorhies on October 8, 2015 at 7:00am — No Comments
Summary: Over 80% of companies are not yet using advanced analytics. Here’s a step-by-step plan to implement a brand new predictive analytics program getting the biggest bang for your buck from the most cost effective investment.
Are You (Your Company) Part of the 80% or the 20%?…
ContinueAdded by William Vorhies on October 5, 2015 at 3:00pm — 1 Comment
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