By: Richard Boire, Senior Vice President, Environics Analytics
What is Feature Engineering One of the growing discussions and debates within the data science community is the determination of inputs or variables that should be included in any predictive analytics algorithm. This type of process is more commonly referred to as feature engineering. Historically, this process is typically the most time-consuming element in building
By: Pasha Roberts, Chief Scientist & Co-founder, Talent Analytics, Corp.
Much has been written about customer churn – predicting who, when, and why customers will stop buying, and how (or whether) to intervene. Employee churn is quite similar. Businesses want to predict who, when, and why employees...
In anticipation of his upcoming conference presentation, Data Driven Selling: Enabling a Direct Salesforce with Tools that Re-Enforce Predictive Selling Methods at Predictive Analytics World Chicago, June 20-23, 2016, we asked Lawrence Cowan, Partner at Cicero Group,...
In anticipation of their upcoming conference co-presentation, Enhancing search results relevance using Word2Vec Language Models at Text Analytics World Chicago, June 21-22, 2016, we asked Pengchu Zhang, Computer Scientist at Sandia National Laboratories, and John Herzer, Enterprise...
In anticipation of his upcoming conference presentation, Tips and Tricks on Developing High-performance Fuzzy Name Search Engine to Prevent Terrorism Financing at Text Analytics World Chicago, June 21-22, 2016, we asked Emrah Budur, Senior Software Engineer at...
In anticipation of his upcoming conference presentation, Using Predictive Analytics to Optimize Organizational KPI’s: A Panel Market Research Case Study at Predictive Analytics World Chicago, June 20-23, 2016, we asked Thomas Schleicher, Sr. Director, Measurement Science at...
By: William Komp, PhD., Senior Data Scientist, SmarterHQ
Data Entities are seldom discussed concepts that primarily hide in the shadows or are ghosts on the periphery. These entities are data constructs that are observationally defined in terms of the underlying data set that can serve...
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference keynote presentation, Changing the Way we Make Things: The Brilliant Factory, we interviewed Dr. Matteo Bellucci, Manager, Process System Lab at General Electric. View the Q-and-A below for a glimpse...
By: Greta Roberts, CEO, Talent Analytics, Corp.
Program Chair: Predictive Analytics World – for Workforce
Corp recruiters have a very important and difficult job. They predict who will be a top performer in certain roles and protect against non-performers getting inside the business ecosystem. We rely on their ability to make constant...
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Analytics in Manufacturing Supply Chains – Predicting Behavior In Chemical Industry Supply Chains, we interviewed Gary Neights, Senior Director at Elemica. View the Q-and-A below for a glimpse of...
 |
 |
 |
The Machine Learning Times © 2026 • 1221 State Street • Suite 12, 91940 •
Santa Barbara, CA 93190
Produced by: Rising Media & Prediction Impact
