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

Wise Practitioner – Predictive Analytics Interview Series: Thomas Klein at Miles & More GMbH

 In anticipation of his upcoming conference co-presentation, Using Predictive Models for Demand Simulation – Purchase, Response and Uplift Modeling in Practice, at Predictive Analytics World New York, October 23-27, 2016, we asked Thomas Klein, Associate Director Advanced Analytics at Miles & More GmbH, a few questions about his work in predictive analytics. Q: In your

Book Review: Predictive Analytics for Newcomers and Nontechnical Readers

 The book reviewed in the article, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, is provided as a complementary copy for all attendees at two Predictive Analytics World events coming to New...

Wise Practitioner – Predictive Analytics Interview Series: Meina Zhou at Bitly

 In anticipation of her upcoming conference presentation, Predictive Analytics for Different Business Types:  Optimize All the Funnels, at Predictive Analytics World New York, October 23-27, 2016, we asked Meina Zhou, Data Scientist at Bitly, a few questions...

Big Data vs. Privacy: A Balancing Act

 How can businesses continue to respect privacy concerns while still permitting the use of big data to drive business value? ‘Companies will now have an even greater obligation to protect the personal information entrusted to them, no...

Exploring the Tool kits of Predictive Analytics Practitioners — Part 1

 Tools, tools, and more tools continue to explode in the analytics marketplace as being key enablers in facilitating the many tasks and functions of the data scientist. These tools are not only used in conducting advanced mathematical...

Why Natural Language Processing Will Change Everything

 Do you talk to your computer or smartphone? Just a few years ago, that question would have been absurd. But with advances in natural language processing, the likelihood is that you have asked your phone to send...

The Power of Data Science for Predictive Maintenance is Only Just Being Tapped

 Future of Automotive Servicing and Preventive Maintenance Several months ago there was a news item which compared how Tesla, the electric car company addressed a potential recall situation, with how a traditional car company addressed a similar situation. Tesla released...

Wise Practitioner – Predictive Analytics Interview Series: Madhusudan Raman at Verizon

 In anticipation of his upcoming conference presentation, Best Practices Enhancing Contextual Experience with Predictive Analytics, at Predictive Analytics World New York, October 23-27, 2016, we asked Madhusudan Raman, Innovation Incubator at Verizon, a few questions about his...

AnalyticOps: A New Organizational Role So Your Company Can Monetize Analytics

 There is no doubt that data science–and predictive analytics– are the next wave of investments aimed to create significant improvements to corporate bottom lines. With the advent of new capabilities, however, generally comes a commensurate amount of...

Wise Practitioner – Predictive Analytics Interview Series: Dae Park and Vijay D’Souza at Government Accountability Office (GAO)

 In anticipation of their upcoming conference co-presentation, Characteristics for Those Claiming Social Security Benefits Early, at Predictive Analytics World for Government, October 17-20, 2016, we asked Dae Park, Assistant Director at Government Accountability Office (GAO), and Vijay...

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