Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Video – How to Use AI Ethically from Natalia Modjeska of Omdia
 Event: Machine Learning Week 2021 Keynote: How to Use AI...
Video – Alexa On The Edge – A Case Study in Customer-Obsessed Research from Susanj of Amazon
 Event: Machine Learning Week 2021 Keynote: Alexa On The Edge...
Why AI Isn’t Going to Replace Data Scientists Any Time Soon
 Should data scientists consider AI a threat to their...
“Doing AI” Is a Mistake that Detracts from Real Problem-Solving
  A note from Executive Editor Eric Siegel: Richard...

Original Content

Connecting the Experts with the Data Scientists

 “Can Machines Think?” was the cover of Time magazine a generation ago. The impetus was a face-off between world chess champion Gary Kasparov and IBM’s “Deep Blue” chess machine. The first match was won by us humans, but algorithms and hardware won out in the end. The spectacle occasioned wild speculation. “Of course computers can

Why analysts should master public speaking

 Industry leader and consultant Geert Verstraeten serves as program chair for Predictive Analytics World London. Click here for information about speaking at PAW London as well as 9 other annual PAW events. Granted, the fear of public...

Defining the Target Variable in Predictive Analytics- A Not so Easy Process

 Defining a target variable is one of the preliminary steps in building a predictive model. But is this really a simple and straightforward process. For example, I want to optimize insurance sales to existing customers on a...

Book Review of “Applied Predictive Analytics” by Dean Abbott

  Industry leader and author Dean Abbott will be presenting at Predictive Analytics World Boston (Oct 5 – 9) on “Data Preparation from the Trenches: 4 Approaches to Deriving Attributes.” Abbott will also run two post-conference full-day...

Recognizing and Avoiding Overfitting, Part 1

 In my last two posts I described why overfitting predictive models is dangerous beyond the most obvious problem, namely that accuracy on new data is lower than expected. In the next few posts, I’ll describe how to...

Webinar: Towards Solving Employee Attrition: Cost Modeling

 Presented by: Pasha Roberts, Chief Scientist, Talent Analytics, Corp. Watch Webinar. Pasha Roberts, Chief Scientist at Talent Analytics, Corp., discusses Talent Analytics’ first step when using a predictive analytics approach for solving employee attrition challenges. Severe employee...

It is a Mistake to…. Listen Only to the Data

 (Part 5 of 11 of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Inducing models from data has the virtue of looking at the data afresh, not constrained...

The Data Audit Process (Part 1)-The Initial Step in Building Successful Predictive Analytics Solutions

 Building predictive analytics solutions is very much in-vogue for most organizations today. Historically, practitioners needed to educate businesses on the value of data mining and predictive analytics. Now, the concept and value of predictive analytics is widely...

10 Practical Actions that Could Improve Your Model

   (adapted from Chapter 13 of the Handbook of Statistical Analysis and Data Mining Applications) After a first pass of training and evaluating a model, you may find you need to improve its results.  Here is a...

The Great Analytical Divide: Data Scientist vs. Value Architect

 In the analytics space, it is quite common for many organizations to have a team of data miners who are now referred to as data scientists and a team of business users who are often referred to...

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