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Gridlex
  • New York, NY
  • United States
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Profile Information

Short Bio
Gridlex, is a creative data, analytics , technology & research firm focused on outside the box creative solutions that are dramatically more cost effective.

Gridlex can be contacted at [email protected]
My Web Site Or LinkedIn Profile
http://www.gridlex.com
Field of Expertise
Analytics, Data Integration, Visualization, BI, Other, Big Data, Data Science
Professional Status
Other
Years of Experience:
15
Your Company:
Gridlex
Industry:
Analytics
How did you find out about DataScienceCentral?
Referrence
Interests:
Other
What is your Favorite Data Mining or Analytical Website?
http://datasciencecentral.com

Gridlex's Blog

Calculate Cosine Similarity Using Scipy – Data Sets & Sample Code

Posted on April 12, 2015 at 8:30pm 1 Comment

What is Cosine Similarity?

Cosine Similarity is a measure of similarity between two vectors that calculates the cosine of the angle between them. Similarity ranges from −1 meaning exactly opposite, to 1 meaning exactly the same, with 0 usually indicating independence, and in-between values indicating intermediate similarity or dissimilarity.…

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What Technology & Tool Skills Do Data Scientists Jobs Require?

Posted on April 2, 2015 at 7:45pm 1 Comment

People often ask “What technology & tool skills do I need to develop to be a data scientist?”. We decided to go straight to the source of job descriptions & check what requirements are being asked for while people hire data scientists. We analyzed about 1660 job postings which had “Data Scientists” in the job title and decided to further search for specific technology & tools skills that are required in those job descriptions.

Our first analysis involved understanding what…

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6 Cloud Based Machine Learning Services

Posted on April 1, 2015 at 7:30pm 0 Comments

Developing machine learning solutions that give a lift from your existing prediction algorithms is not an easy task. They require a multitude of activities to get it right including cleaning up the data, setting up the infrastructure, testing &re-testing the model & finally deploying the algorithm.…

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Solving Poisson Distribution Problems Using SciPy

Posted on January 28, 2015 at 2:30am 0 Comments

Imagine the following business problem:

A call center has a rule that if more than 8 customers calls in 24 hours about Issue X, then there should be an alarm & that that Issue X should be forwarded to Tier 2 team for further investigation. However, the Tier 2 team believes that 24 hours is too long to wait since the customer experience could suffer. They want to predict BEFORE the 24 hour interval. Therefore, they want the probability at any given time based on historical hourly…

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