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Dr. Justin Washtell
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  • United Kingdom
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Alexis Gil Gonzales commented on Dr. Justin Washtell's blog post 3 Must-Ask Questions Before Choosing That Machine Learning Algorithm!
"Great post. Only experience gives that level of insight. I was thinking on a series of use cases illustrating these points."
Jun 11, 2015
Dr. Justin Washtell posted a blog post

The Imminent Future of Predictive Modeling

Predictive modeling tools and services are undergoing an inevitable step-change which will free data scientists to focus on applications and insight, and result in more powerful and robust models than ever before. Amongst the key enabling technologies are new hugely scalable cross-validation frameworks, and meta-learning.Over the past two to three years there has been a small explosion of companies offering cloud-based Machine Learning as a Service (MLaaS) and Predictive Analytics as a Service…See More
Feb 26, 2015
Dr. Justin Washtell commented on Dr. Justin Washtell's blog post 3 Must-Ask Questions Before Choosing That Machine Learning Algorithm!
"Thank you so much for the positive feedback Roger! Absolutely, algorithm users cannot realistically all be experts in their operation. Even researchers at the bleeding edge may be experts in only a handful of algorithms closely related to those they…"
Nov 28, 2014
Roger Bohn commented on Dr. Justin Washtell's blog post 3 Must-Ask Questions Before Choosing That Machine Learning Algorithm!
"This is a very useful post for my beginning students. To them, algorithms are rather arbitrary. Thanks. "
Nov 28, 2014
Dr. Justin Washtell commented on Dr. Justin Washtell's blog post Trust The Algorithms, Not The Data.
"Hi Cristian, Yes, I paint a very convenient example in a number of ways, and we face a much bigger problem in general. In the example we were fortunate that the data did not result from some complex or as-yet opaque domain process, but represented…"
Nov 24, 2014
Cristian Vava, PhD, MBA commented on Dr. Justin Washtell's blog post Trust The Algorithms, Not The Data.
"Justin, Your advice is very pertinent and I hope most practitioners will follow it. Below are my 2 cents for a Friday evening... Not very sure how you’ll be able to get a good measure of the data quality even of a selected set without fully…"
Nov 21, 2014
Dr. Justin Washtell's blog post was featured

Trust The Algorithms, Not The Data.

One mantra we chant frequently is "trust the data". In the context that we use this expression it is often wise. For example: when requested for the facility to adjust the rules of a robustly tested machine-learnt model so that it better jibes with intuition; or when tempted to cherry-pick fields and features which one assumes (be it through years of domain experience or otherwise) enshrine the relevant information.This doesn't mean that the data is always right of course.Certainly weeding out…See More
Nov 19, 2014
Dr. Justin Washtell's blog post was featured

3 Must-Ask Questions Before Choosing That Machine Learning Algorithm!

You know that you want to build a predictive model. You've framed your problem in terms of classification or regression. You've prepared some training data (which took an age). Now there's just the small matter of choosing an appropriate algorithm.You've heard or experienced first hand that Random Forests, Elastic Net Regression or Deep Belief Networks are "the business" and so you're going to use one of these (you've probably already verified that these algorithms are appropriate to your…See More
Nov 5, 2014
Dr. Justin Washtell posted a blog post

The Single Best Predictive Modeling Technique. Seriously.

I read two strangely similar articles last week. One was an article by Vincent Granville, entitled "The 8 worst predictive modeling techniques". The other was an article on Forbes entitled "America's 10 Best-Paying Jobs".What on Earth do these two articles have in common (other than both being lists)?A brief flick through the Forbes article reveals that it could almost as…See More
Oct 30, 2014
Alex Kashko commented on Dr. Justin Washtell's blog post The Single Best Predictive Modeling Technique. Seriously.
"On the face of it your statement "Take human judgement out of the equation wherever it is not required" makes sense.   However human judgement must be removed totally. As an example in the recent Scottish Independence Referendum…"
Oct 30, 2014
Dr. Justin Washtell shared their blog post on Twitter
Oct 30, 2014

Profile Information

My Website or LinkedIn Profile (URL):
http://www.linkedin.com/pub/justin-washtell/21/bb/221
Field of Expertise:
Predictive Modeling, Data Mining, Statistical Programming, Environmental Statistics, Artificial Intelligence
Professional Status:
Technical, Director
Interests:
Networking
Your Company:
ForecastThis
Industry:
Predictive Analytics

Dr. Justin Washtell's Blog

The Imminent Future of Predictive Modeling

Posted on February 26, 2015 at 12:41pm 0 Comments

Predictive modeling tools and services are undergoing an inevitable step-change which will free data scientists to focus on applications and insight, and result in more powerful and robust models than ever before. Amongst the key enabling technologies are new hugely scalable cross-validation frameworks, and meta-learning.…

Continue

Trust The Algorithms, Not The Data.

Posted on November 16, 2014 at 4:30am 2 Comments

One mantra we chant frequently is "trust the data". In the context that we use this expression it is often wise. For example: when requested for the facility to adjust the rules of a robustly tested machine-learnt model so that it better jibes with intuition; or when tempted to cherry-pick fields and features which one assumes (be it through years of domain experience or otherwise) enshrine the relevant information.

This doesn't mean that the data is always right of…

Continue

3 Must-Ask Questions Before Choosing That Machine Learning Algorithm!

Posted on November 3, 2014 at 3:00pm 3 Comments

You know that you want to build a predictive model. You've framed your problem in terms of classification or regression. You've prepared some training data (which took an age). Now there's just the small matter of choosing an appropriate algorithm.

You've heard or experienced first hand that Random Forests, Elastic Net Regression or Deep Belief Networks are "the business" and so you're going to use one of these (you've probably already verified that these algorithms are appropriate to…

Continue

The Single Best Predictive Modeling Technique. Seriously.

Posted on October 29, 2014 at 11:00am 1 Comment

I read two strangely similar articles last week. One was an article by Vincent Granville, entitled "The 8 worst predictive modeling techniques". The other was an article on Forbes entitled "America's 10 Best-Paying Jobs".

What on Earth do these two articles have in common (other than both being lists)?

A brief flick through the Forbes article reveals that it…

Continue

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