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All Blog Posts Tagged 'the' (8)

NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction

Summary:  99% of our application of NLP has to do with chatbots or translation.  This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels.  The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers.

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Added by William Vorhies on September 3, 2019 at 7:35am — No Comments

2018: the year data delivers

2018 is set to be the year data finally delivers for both businesses and consumers. Alex Comyn, chief strategy officer at Amaze, explores 8 key trends that are set to impact on brands next year.

Throughout 2017 we’ve seen the use of data starting to come together to assist both consumers and businesses,…

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Added by tom on July 14, 2018 at 7:50pm — No Comments

The Age of the Customer: The Key to the 360° View

The evolution of modern technology in the past 10 years is astounding: our mobile phones are becoming smarter by the second, our online behavior is revealing more about human nature and our wearable technology knows more about our general well-being than our family doctor.

This adoption of technology into almost every facet of our life will surely define this epoch as the digital era. We have been talking about the Internet of Things (IoT) for many years now, these “things” being all…

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Added by Amy Flippant on May 9, 2017 at 11:30pm — 4 Comments

The 7 Myths of AI - By Robin Bordoli

The 7 Myths of AI

By Robin Bordoli

If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mainstream media coverage of artificial intelligence or AI.  You’ve seen articles in …

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Added by Leena Kamath on September 29, 2016 at 9:30am — No Comments

Is AI a dude or a dudette?

The gender of artificial intelligence

By Tyler Schnoebelen,

 

There’s Apple’s Siri, Microsoft’s Cortana, Amazon’s Alexa, and Nuance’s Nina. Sure, Facebook has “M”, Google has “Google Now”, and Siri’s voice isn’t always that of a woman. But it does feel worth noting that (typically male-dominated) engineering groups routinely give women’s names to the things you issue commands to. Is artificial…

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Added by Leena Kamath on July 14, 2016 at 9:21am — 1 Comment

Assembling The Data Team: Part 2: Traits to Avoid

In part one of this blog post we discussed the traits of people you should try to build in a data science team.  Of course technical, statistical, programming and mathematical skills are needed.  However, it takes much more.  We discussed the following traits:  The Pioneer, The Cattle Herder, The Muscle, and The Story Teller.  See below for that blog post:

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Added by John Thuma on August 22, 2015 at 11:00pm — No Comments

Data Shinobi: 2 - The Tree of the Data Shinobi

Having looked at the fundamentals in the first blog, the natural next step is to understand the various types of strategies to "attack" the data and make it reveal useful information. However, there is one step we must take just before that: Understand the "enemy" i.e. the problem at hand and the data available.

The Tree of the Data Shinobi:

The tree below is an attempt at categorizing the most commonly…

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Added by Amogh Borkar on June 8, 2014 at 2:30am — No Comments

Building a house and building a data-analytic model

If I want to build a house, wouldn't it be wise to learn carpentry? Does the analogy hold for data-analytic multivariate models? Or is it simply enough to let a machine do it, with no knowledge by the machine operator of how to interpret the results from those modeling efforts? Or is it true, as one person has recently asserted, that he could replicate ALL statistical procedures and techniques using MapReduce, without knowing anything about statistics and probability, or the vast collection…

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Added by Bill Luker Jr on April 28, 2014 at 6:51am — 2 Comments

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