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William Vorhies's Blog – October 2015 Archive (14)

Fraud Detection Using Deep Learning ML Techniques at Paypal

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…

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Added by William Vorhies on October 27, 2015 at 12:19pm — 2 Comments

6 Reasons To Replace Your Spreadsheet-Driven Reporting

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.…

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Added by William Vorhies on October 27, 2015 at 8:30am — 3 Comments

A Map to Perfection: Using D3.js to Make Beautiful Web Maps

Guest blog by Tomislav Bacingeris @ Toptal

Data Driven Documents, or…

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Added by William Vorhies on October 22, 2015 at 8:13am — 3 Comments

Stream Processing – What Is It and Who Needs It

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…

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Added by William Vorhies on October 21, 2015 at 9:30am — 1 Comment

Outsourcing Data Analytics

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…

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Added by William Vorhies on October 20, 2015 at 7:30am — No Comments

Podcasts for Data Scientists



Guest blog by…

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Added by William Vorhies on October 20, 2015 at 7:00am — No Comments

What PhDs do wrong (and right!) when applying for Data Science jobs

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…

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Added by William Vorhies on October 19, 2015 at 7:29am — 3 Comments

Why Data Scientists Need to be Good Data Storytellers

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

Creating a Graph Application with Python, Neo4j, Gephi and Linkurious.js

 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…

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Added by William Vorhies on October 14, 2015 at 8:18am — No Comments

A Step-by-Step Plan for Getting Your Company Started with Predictive Analytics – Part 2

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.

In Part 1…

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Added by William Vorhies on October 12, 2015 at 9:30am — No Comments

Data Science and EU Privacy Regulations: A Storm on the Horizon

Guest blog by David…

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Added by William Vorhies on October 9, 2015 at 7:32am — 2 Comments

Is Game Theory important for Data Scientists?

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

A Step-by-Step Plan for Getting Your Company Started with Predictive Analytics – Part 1

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%?…

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Added by William Vorhies on October 5, 2015 at 3:00pm — 1 Comment

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