Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Is What You Did Ethical? Helping Students in Computational Disciplines to Think About Ethics
 In addition to this article, Dr. Priestly will also...

Original Content

Haystacks and Needles: Anomaly Detection

 Anomalies vs Outliers Anomaly detection, or finding needles in a haystack, is an important tool in data exploration and unsupervised analytic modeling. Anomaly detection also creates a path to supervised modeling by singling out key examples that an analyst can begin to classify as needles or hay. Those labeled examples are essential for supervised learning,

Auditing the Data When Deploying Predictive Analytics Solutions

 Much of the discussion in the predictive analytics discipline tends to deal with techniques and approaches that will help resolve a given business challenge or problem. In any approach or technique, though, integration of both technical(i.e. mathematics...

Leveraging Dark Data: Q&A with Melissa McCormack

 Melissa McCormack,Research Manager at predictive analytics research firm Software Advice, was recently interviewed about dark data by our Event Marketing Manager, Crystal Prag. Learn about businesses that can benefit from dark data extraction and processing, and also...

Wise Practitioner – Predictive Analytics Interview Series: Nephi Walton, M.D., Washington University/University of Utah

 In anticipation of his upcoming conference presentation at Predictive Analytics World Healthcare in Boston, “Resource Optimization: Using Predictive Analytics to Forecast Hospital Patient Volume for Hospital Resource Allocation and Staffing,” we asked Nephi Walton, M.D., MS Biomedical...

Using Predictive Modeling Algorithms for Non-Modeling Tasks

 It is obvious what predictive modeling algorithms like decision trees, neural networks, linear and logistic regression, and others are used for: building predictive models for classification and/or regression. However, they can be useful for many other tasks...

Wise Practitioner – Predictive Analytics Interview Series: Greta Roberts of Talent Analytics

 In anticipation of her upcoming keynote conference presentation at Predictive Analytics World Workforce in San Francisco, we asked Greta Roberts, CEO, Talent Analytics, and Program Chair of PAW Workforce, a few questions about her work in predictive...

Wise Practitioner – Predictive Analytics Interview Series: George Savage, M.D., Proteus Digital

 In anticipation of his upcoming keynote conference presentation at Predictive Analytics World Healthcare in Boston, “Predictive Analytics: Advancing Precision and Population Medicine,” we asked George Savage, M.D., Co-Founder & Chief Medical Officer, Proteus Digital Health, a few...

From Human Screen to Machine: Predictive Analytics Helps Avoid a Major Point of Hiring Failure

 What is an employer’s most business-critical corporate process? At or near the top of this list has to be hiring employees that deliver more value to their role and company than they cost to their employer. Employees...

Predictive Analytics in Health Care: Helping to Navigate Uncertainties and Change

 A recent billion-dollar forecasting error in Walgreen’s Medicare-related business has shocked the company and investors. The CFO was pressured to leave after he cut his 2016 pharmacy-unit earnings forecast from $8.5 billion to $7.4 billion. The company...

The Power of Predictive Analytics for Retail Replenishment

 Replenishment is an essential process in the retail supply chain. It is a key link in the chain that is interconnected with other functions such as allocation, promotions, planning, assortment, vendor compliance, and more. Furthermore, it is...

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