Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Analytics

Advanced Analytics Predictions for 2016

 More organizations than ever before are putting the right data on the right platform for the right reason. This new level of data efficiency greatly reduces – and, in the long run, may ultimately eliminate – the need to pull data in to a centralized source such as a data warehouse or analytic sandbox for

Changing the Retail Sector with Big Data

 Big Data analytics is now being applied at every stage of the retail process – working out what the popular products will be by predicting trends, forecasting where the demand will be for those products, optimizing pricing...

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 Continues to Transform Healthcare

 Most of us probably remember when a certain big box retailer, thanks to sophisticated data collection and analytics, beat a father to the discovery of his teen daughter’s pregnancy… And those of us who do are likely...

The Big Data Odyssey

 In the world of IT, we seem to fall victim to a new technology “siren’s song” approximately every five years. The most recent of these new irresistible forces is Big Data. While our industry has been talking...

Mobile Analytics-Mining the Visit Experience of the Customer

 Mobile technology as part of the Big Data discussion is enabling data miners/data scientists to conduct analytics on information on the customer’s experience within a given location which otherwise was unavailable up until a few years ago....

5 Warning Signs that Turn Off Data Science Hiring Managers

 As a hiring manager for data analytics positions, I often complain that there are not enough qualified resumes. Most of the resumes that do get passed on to me from recruiters quickly get filed away. Those job...

5 Types of Analytics in Business: One to Go After and One to Avoid

 I have been lucky enough to work in some form of analytics for the past 15 years. In the last five especially, there has been an explosion in opportunities and applications as well as software tools. Lately,...

USPS OIG Vet: Analytics Can Make Audits Help, Not Hurt

 Big data and analytics can make an auditor’s job easier and more effective. But the auditor must be prepared to face resistance from the organizations he or she scrutinizes — and from within. “Human beings are wired...

Visualization: Panacea for Building Analytics Solutions?

 Data,data,data everywhere and what do I do with it. How do I make sense of it that is useful to the business? More importantly, how do I tell the story now that the solution is built? VISUALIZATION....

Page 17 of 21 1 12 13 14 15 16 17 18 19 20 21