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All Blog Posts Tagged 'Model' (8)

Suspense Analog - Data Object

I periodically use the term “data object” in my blogs.  Since I do not normally blog about data objects per se, I find myself simply stating that in-depth analysis might need to go beyond numbers; therefore, we should consider data objects.  This might confuse readers unaware of what a data object is - or at least what I mean by it.  To make matters challenging, readers inclined towards data science do not necessarily have much background in the liberal arts; and those with degrees in the…

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Added by Don Philip Faithful on September 22, 2017 at 1:00am — No Comments

Naive Bayes Process At a Glance

Added by Sunil Kappal on December 27, 2016 at 7:00am — No Comments

Improving Predictions with Ensemble Model

INTRODUCTION

“Alone we can do so little and together we can do much” - a phrase from Helen Keller during 50's is a reflection of achievements and successful stories in real life scenarios from decades. Same thing applies with most of the cases from innovation with big impacts and with advanced technologies world. The machine Learning domain is also in the same race to make predictions and classification in a more accurate way using so called ensemble method and it is…

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Added by Valiance Solutions on August 11, 2016 at 12:00am — No Comments

TUPAQ - Automating Model Search for Large Scale Machine Learning

Simplifying and automating machine learning processes and techniques - that depend on large-scale, distributed datasets to achieve high statistical performance - is critical for the future of applied data science.…
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Added by Michael Walker on April 9, 2016 at 9:00am — No Comments

Building A Predictive Model

“Predictive analytics” is a commonly used term today. Wikipedia describes it as ‘encompassing a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical…

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Added by Aureus Analytics on November 21, 2015 at 12:30am — No Comments

Caveat Data Scientist: Public Trust Low for Science

A new paper entitled "Gaining Trust as well as Respect in Communicating Science Topicspublished in the Proceedings of the National…

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Added by Michael Walker on September 24, 2014 at 5:07pm — No Comments

Master Data Management Solutions

What is MDM and what does it involve?

MDM aims at referencing, managing and synchronising all the data across a company (e.g. products and customers data) to ensure the liability and preciseness. By using a good data management, the company will be able to simplify its processes, to avoid overlap and to ensure the quality and usability of the data. MDM has impacts on different levels for a company.  On the business side, it affects speed,…

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Added by Michel Bruley on January 2, 2014 at 12:48am — No Comments

ACM Data Mining Talk: Representing Predictive Solutions with PMML

Talk on PMML and Predictive Analytics to the ACM Data Mining Bay Area/SF group at the LinkedIn auditorium in Sunnyvale, CA.



Abstract: 



Data mining scientists work hard to analyze historical data and to build the best predictive solutions out of it. IT engineers, on the other hand, are usually responsible for bringing these solutions to life, by recoding them into a format suitable for operational deployment. Given that data mining scientists and engineers…

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Added by Alex Guazzelli on October 2, 2012 at 8:12am — No Comments

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