Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

Original Content

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 as value architects. It has been a common practice ever since the first direct marketing models were produced

Employee Churn 202: Good and Bad Churn

 Our prior article on this venue began outlining the business value for solving “the other churn” – employee attrition. We introduced the “quantitative scissors” with a simple model of employee costs, benefit, and breakeven points. The goal...

Why Overfitting is More Dangerous than Just Poor Accuracy, Part II

 In part one, I described one problem with overfitting the data is that estimates of the target variable in regions without any training data can be unstable, whether those regions require the model to interpolate or extrapolate....

Predictive Analytics is the Answer to Smart Fulfillment and Omni-Channel Retailing

 Over the past 5 years there have been several trends that have changed the way retailers operate their businesses. Many of them have to do with how consumers use technology to make a purchase. Pure e-commerce retailers...

Employee Churn 201: Calculating Employee Value

 Much has been written about customer churn – predicting who, when, and why customers will stop buying, and how (or whether) to intervene. Employee churn is similar – we want to predict who, when, and why employees...

Why Overfitting is More Dangerous than Just Poor Accuracy, Part I

 Arguably, the most important safeguard in building predictive models is complexity regularization to avoid overfitting the data. When models are overfit, their accuracy is lower on new data that wasn’t seen during training, and therefore when these...

5 Ways to Become Extinct as Big Data Evolves

 The need to adopt sophisticated data analytics has become widely apparent to businesses recently, and the necessity of adopting “Big Data” analytics approaches is only becoming more evident. Gartner’s report on Big Data Adoption in 2013 found...

It is a Mistake to…. Ask the Wrong Question

 (Part 4 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) It is very important to have the right project goal; that is, to aim at...

What Role can Network Analysis play in Business Intelligence?

 Network analysis is an emerging Business Intelligence technique that’s increasingly used in risk management, social network analytics, banking, telecommunication analytics, bioinformatics, criminal intelligence, and human resources planning. Sometimes the term Network Analysis (or Network Analytics) is mixed...

The Data Behind Data Scientists: Top Kaggle Performers

 Kaggle, an online platform that hosts data analytics competitions, allows companies to tap into the expertise of data gurus to tackle specific company issues (and possibly reap prizes and job offers, if successful). With more than 100,000...

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