Machine Learning Times
Machine Learning Times
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Data Reliability and Analytic Validity for Non-Dummies

 There is not much attention paid these days to data reliability and validity (DR&V). Many data-scientific practitioners, especially those in Computer Science-IT Data Science (CS-IT Data Science),  don’t get what the terms mean, especially for DR&AV work they might need to do routinely that they do not do at all. After all, we’ve got Big

Overview of Mega-PAW Vegas 2018: Summary of Keynotes and More

  As both a speaker and a representative of the IIA, I attended the Predictive Analytics World (PAW) show in Las Vegas, June 5-6, 2018. The organizers stated that they had approximately 600 people registered – and...

Analytics Assessment: A Blueprint for Effective Analytics Programs

  If you are like me, when you first heard of analytics and its ability to benefit businesses, non-profits, and government agencies, you felt invigorated and excited, having to hold back the urge to shout “Charge!”  As...

Prediction in the Public Sector: Why the Government Needs Predictive Analytics

 Originally published by Analytics Magazine This article is excerpted from Eric Siegel’s Foreword to the recently released book, “Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence,” edited by Feras A. Batarseh and Ruixin Yang....

Analytics in the Brave New Customer Experience World

 Mobile marketing technology offers opportunities to enhance the customer experience. The marketing world is awash in acronyms and terms that reflect the technological changes practitioners are facing today. One common acronym—CRM, or customer relationship management—revolves around the...

Wise Practitioner – Predictive Analytics Interview Series: Tauseef Rahman at Mercer

 In anticipation of his upcoming conference presentation, What Millennial Employees Actually Value:  Lessons from Predictive Modeling, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Tauseef Rahman, Principal, Workforce Strategy & Analytics at...

Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data

 The problem of monetizing Big Data, or improving its usefulness in decision-making, stands out in every forward-looking organization today. To solve it, as everyone knows by now, it is not enough to store or manage it. We...

Book Review: The Rise of Big Data Policing (Is the Data Racially Tinged?)

 Originally published by Big Think For more content on government applications of predictive analtyics, attend Predictive Analytics World for Government, Sept 18-19, 2018 in Washington, DC. As predictive analytics advances decision making across the public and private...

Wise Practitioner – Predictive Analytics Interview Series: Benjamin Cleveland, at UnityPoint Health

 In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare Las Vegas, June 3-7, 2-18, we asked Benjamin Cleveland, Data Scientist at UnityPoint Health, a few questions about incorporating predictive analytics into healthcare. Catch a...

The Art of Data Science

 With much of the latest discussion focused on the latest techniques in machine learning  and in particular deep learning, the significant benefits of machine learning and deep learning are now a public reality. Yet, machine learning in...

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