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...

data mining

Some Thoughts on Analytics in a Post COVID-19 Environment

 In these most difficult times, the use of analytics is certainly not top of mind for most organizations unless it is being used to combat the virus. The challenging scenarios of meeting payroll and having access to cash are the obvious immediate priorities. But from a non analytical perspective, like most people, I am amazed

Highway to Health: Predictive Analytics has Great Potential in Medicine

 While a computer that could predict your future is tantalizing. Would you want a glimpse into your future, whether it be good or bad? Until recently, most medical statistics have been bell curves created in hindsight. We...

Wise Practitioner – Predictive Analytics Interview Series: Alice Chung at Genentech

 In anticipation of her upcoming conference co-presentation, Utilizing Advanced Analytics to Generate Insights at Predictive Analytics World Chicago, June 20-23, 2016, we asked Alice Chung, Senior Manager at Genentech, a few questions about her work in predictive...

Wise Practitioner – Predictive Analytics Interview Series: Mario Vinasco at Facebook

 In anticipation of his upcoming conference presentation, Advanced Experimentation in Social Networks at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Mario Vinasco, Marketing Analytics Data Scientist at Facebook, a few questions about his work...

4 Things to Know Before Building Data Science Into Your Organization

 “Data scientist” is a popular role these days. Everyone seems to have one — or claims to be one. But how do executives know whether they have the “real thing” and how that value is best employed?...

Predictive Analytics Book Excerpt: Hands-On Guide—Resources for Further Learning

 Here is the Hands-On Guide that appears at the end the Revised and Updated paperback edition of Eric Siegel’s Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Although the book Predictive Analytics...

Spy Agency Posts Data-Mining Software to Github

 Gaffer a graph database “optimized for retrieving data on nodes of interest” developed by the notorious UK spy agency GCHQ is available for download. You can now run and improve it because they’ve posted it to Github...

B2B Predictive Analytics: An Untapped Sector

 Much work in predictive analytics and data science has been primarily focused around the business to consumer sector (B2C). Certainly predictive analytics solutions have been applied to the B2B sector but it pales in comparison to what...

Four Ways Data Science Goes Wrong and How Test-Driven Data Analysis Can Help

 If, as Niels Bohr maintained, an expert is a person who has made all the mistakes that can be made in a narrow field, we consider ourselves expert data scientists.  After twenty years of doing what’s been...

Big Data Mining in Call of Duty

 Activision allowed two of their most credentialed employees to host a PAX ’15 panel on the role users play in game development. PhDs Justin Shacklette and Spencer Stirling spent nearly an hour explaining how the company is...

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