Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Some Thoughts on Analytics in a Post COVID-19 Environment
 In these most difficult times, the use of analytics...
Re-examining Model Evaluation: The CRISP Approach
 The performance of prediction models can be judged using...
An Agile Approach to Data Science Product Development
 Introduction With the huge growth in machine learning over...
Wise Practitioner – Predictive Analytics Interview Series: Haig Nalbantian at Mercer – BIZ
 By: Eric Siegel, Founder, Predictive Analytics World for Business...

Industry News

Learn from Big Data How to Predict the Future

 Experts believe our collection of Big Data will double every two years until 2020. Much of those digital artifacts come from people like you and me as we “Like” things on Facebook, buy books over the web, post blog entries, and share smartphone photos on Instagram. Yet only a fraction of this data is actually being

Only 17% of Insurers Use Predictive Analytics in Claims: Towers Watson

 However, the seventh installment of the company’s Property & Casualty Claim Officer Survey indicates that use of these technologies is on the rise. Despite many months of commentary indicating the value of predictive analytics in claims, the...

NAR to tackle ‘big data’ with predictive analytics group

 The 1 million-member National Association of Realtors launched a new predictive analytics department today with the rehire of industry veteran Todd Carpenter. NAR first hired Carpenter to manage its online and social media presence in February 2009. In April...

Cloud Predictive Analytics Most Used To Gain Customer Insight

 Using analytics to better understand customer satisfaction, profitability, retention and churn while increasing cross-sell and up-sell are the most dominant uses of cloud-based analytics today. James Taylor will present on these research results at Predictive Analytics World...

Government Data Chiefs Find Varied Measures for Analytics Value

 WASHINGTON—For Michael Wood, who recently retired from his position as executive director of the Recovery Accountability and Transparency Board (RATB), success of his team’s analytics work has been a difficult thing to measure. The RATB was created...

Deathtrap: Overlearning in Predictive Analytics

 I am in the process of gathering survey data for the TDWI Predictive Analytics Best Practices Report.  Right now, I’m in the data analysis phase.  It turns out (not surprisingly) that one of the biggest barriers to...

Army explores predicting suicides as way to prevent them

 A controversial new Army plan would predict which soldiers might kill themselves, potentially enabling military to provide mental health counseling and other services to treat troubled troops. Even as thousands of U.S. servicemembers were dying in Iraq...

Limited role for big data seen in developing predictive models

 Many analytics professionals have high hopes for big data, but speakers at the Predictive Analytics World conference struck a decidedly cautious tone when discussing the concept as it relates to building predictive models. “To me, big data...

Intro To Predictive Analytics Reading List

 Predictive Analytics Is Red Hot Why? What organization couldn’t benefit from making better decisions? Just ask the Obama campaign, which used sophisticated uplift modeling to target and influence swing voters. Or telecom firms that use predictive analytics...

R usage skyrocketing: Rexer poll

  Rexer Analytics has been conducting regular polls of data miners and analytics professionals on their software choices since 2007, and the results of the 2013 Rexer Analytics Data Miner Survey were presented at last month’s Predictive...

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