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William Vorhies's Blog – May 2016 Archive (5)

Picking an Analytic Platform



Summary:
Picking an analytic platform when first starting out in data science almost always means working with what we’re most comfortable.  But as organizations grow larger there is a need for standardization and for selecting one, or a few analytic tools.

 

Picking an analytic platform when first starting out in data science almost…

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Added by William Vorhies on May 31, 2016 at 7:00am — 1 Comment

Want to Win Competitions? Pay Attention to Your Ensembles.

Summary: Want to win a Kaggle competition or at least get a respectable place on the leaderboard?  These days it’s all about ensembles and for a lot of practitioners that means reaching for random forests.  Random forests have indeed been very successful but it’s worth remembering that there are three different categories of ensembles and some important hyper parameters tuning issues within each  Here’s a brief review.

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Added by William Vorhies on May 25, 2016 at 7:30am — 1 Comment

The POC Problem

Summary:  Proof of Concept projects are a popular place to start but they may be the wrong solution.  To ensure success focus on Proof of Value and alignment with the company’s strategy.  Get the right executive sponsor and keep them involved.

 

If you Google ‘Data Science Proof of Concept’ you will find dozens if not hundreds of articles…

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Added by William Vorhies on May 16, 2016 at 9:17am — No Comments

Debunking the 68 Most Common Myths About Big Data – Part 2

Summary:  Continuing from out last article, we searched the web to find all of the most common myths and misconceptions about Big Data.  There were a lot more than we thought.  Here’s what we found. Part 2.

 

If you caught…

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Added by William Vorhies on May 10, 2016 at 2:00pm — 1 Comment

Debunking the 68 Most Common Myths About Big Data – Part 1

Summary:  We searched the web to find all of the most common myths and misconceptions about Big Data.  There were a lot more than we thought.  Here’s what we found.  Part 1.

 

The web is just chockablock with good articles that claim to dispel the most common misconceptions or myths about Big Data.  Since even today there are still a larger…

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Added by William Vorhies on May 5, 2016 at 2:09pm — 2 Comments

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