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William Vorhies's Blog Posts Tagged 'predictive' (18)

No Matter What You Call It, It’s all the Same Thing

Summary:  A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same thing.

 

A little reminiscence, or for those of you who are only recently data scientists, a little history lesson. 

Our profession of…

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Added by William Vorhies on December 4, 2019 at 3:12pm — No Comments

From Optimization to Prescriptive Analytics

Summary:  True prescriptive analytics requires the use of real optimization techniques that very few applications actually use.  Here’s a refresher on optimization with examples of where and how they’re best used.

 

Predictive analytics and optimization have gone hand in hand since the very beginning.  But in…

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Added by William Vorhies on February 18, 2019 at 10:00am — 1 Comment

Data or Algorithms – Which is More Important?

Summary:  Which is more important, the data or the algorithms?  This chicken and egg question led me to realize that it’s the data, and specifically the way we store and process the data that has dominated data science over the last 10 years.  And it all leads back to Hadoop.

 

Recently I was challenged to speak on the role of data in data…

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Added by William Vorhies on November 28, 2017 at 10:36am — 1 Comment

Data Scientists Automated and Unemployed by 2025 - Update!

Summary:  A year ago we wrote about the emergence of fully automated predictive analytic platforms including some with true One-Click Data-In Model-Out capability.  We revisited the five contenders from last year with one new addition and found the automation movement continues to move forward.  We also observed some players from last year have now gone in different directions.  …

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Added by William Vorhies on July 17, 2017 at 4:30pm — 5 Comments

Quantum Computing, Deep Learning, and Artificial Intelligence

Summary:  Quantum computing is already being used in deep learning and promises dramatic reductions in processing time and resource utilization to train even the most complex models.  Here are a few things you need to know.

 

So far in this series of articles on Quantum computing we showed that…

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Added by William Vorhies on June 13, 2017 at 8:00am — No Comments

Why R is Bad for You

Summary:  Someone had to say it.  In my opinion R is not the best way to learn data science and not the best way to practice it either.  More and more large employers agree.

 

Someone had to say it.  I know this will be controversial and I welcome your comments but in my opinion R is not the best way to learn data science and not the best…

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Added by William Vorhies on May 15, 2017 at 4:30pm — 74 Comments

Deep Learning lets Regulated Industries Refocus on Accuracy

Summary:  Count yourself lucky if you’re not in one of the regulated industries where regulation requires you to value interpretability over accuracy.  This has been a serious financial weight on the economy but innovations in Deep Learning point a way out.

As Data Scientists we tend to take as gospel that more accuracy is better.  There…

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Added by William Vorhies on February 28, 2017 at 9:21am — No Comments

CRISP-DM – a Standard Methodology to Ensure a Good Outcome

Summary:  To ensure quality in your data science group, make sure you’re enforcing a standard methodology.  This includes not only traditional data analytic projects but also our most advanced recommenders, text, image, and language processing, deep learning, and AI projects.

 

A Little History

In the early 1990s as…

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Added by William Vorhies on July 26, 2016 at 9:15am — 1 Comment

Automated Predictive Analytics – What Could Possibly Go Wrong?

Summary:  Will Automated Predictive Analytics be a boon to professional data scientists or a dangerous diversion allowing well-meaning, motivated but amateur users try to implement predictive analytics.  More on the conversation started last week about new One-Click Data-In Model-Out platforms.

 

I have always been very much…

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Added by William Vorhies on April 20, 2016 at 10:21am — 2 Comments

Real Time Predictive Models – Are They Possible?

Summary:  At least one instance of Real Time Predictive Model development in a streaming data problem has been shown to be more accurate than its batch counterpart.  Whether this can be generalized is still an open question.  It does challenge the assumption that Time-to-Insight can never be real time.

 

A few months back I was making my way through the latest literature on “real time analytics” and “in stream analytics” and my blood pressure was rising. …

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Added by William Vorhies on January 20, 2016 at 9:58am — 5 Comments

Getting a Data Science Education

Summary:  Once you’ve decided to become a data scientist, where should you get your education?

This is a continuation of the ‘how to become a data scientist conversation’ (see “So You Want to be a Data Scientist” at…

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Added by William Vorhies on July 22, 2015 at 9:30am — 3 Comments

Prescriptive versus Predictive Analytics - A Distinction without a Difference?

Summary:  Is the addition of “Prescriptive” analytics to our nomenclature really worthwhile or are we just confusing our customers?

I admit to being annoyed when this or that industry wag tries to coin a new term to describe some portion of the discipline we are already practicing.  Some of these folks I think are…

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Added by William Vorhies on October 23, 2014 at 10:00am — 9 Comments

The Value of Accuracy in Predictive Analytics

This article was first posted in 2014 but the message bears repeating.  There is a lot being written about tools simple enough for the citizen data scientist to operate.  The unstated constraint is that if you don't have significant experience in data science then these will always be "good enough" models.  The problem is that 'good enough' models under achieve both revenue and profit.  Very small increases in model fitness can translate into much larger increases in campaign ROI.  Business…

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Added by William Vorhies on October 8, 2014 at 8:00am — 4 Comments

Lesson 3: Open Source, Distribution, or Suite

Summary:  Which to pick?  Open Source, Distribution, or Big Data Suite.  Here are the factors you should consider.

Before we get to the…

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Added by William Vorhies on September 5, 2014 at 8:30am — No Comments

9 Lessons: Picking the Right NoSQL Tools

Summary:  This blog series is designed to help you understand which NOSQL Big Data database is right for you.  It is addressed to business executives and managers who need a primer on how this decision should be made. 

Starting a Big Data Initiative is…

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Added by William Vorhies on September 3, 2014 at 8:31am — 2 Comments

From Data Analyst to Predictive Modelers to Data Scientists

Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the enterprise.  What’s holding them back?

In an earlier posting we argued that much of what is holding companies back from…

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Added by William Vorhies on August 19, 2014 at 8:30am — 4 Comments

Types and Uses of Predictive Analytics, What they are and Where You Can Put Them to Work

Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the…

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Added by William Vorhies on August 13, 2014 at 10:54am — No Comments

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