predictive modeling

Wise Practitioner – Predictive Analytics Interview Series: Feyzi Bagirov at Becker College

By: Eric Siegel, Founder, Predictive Analytics World

In anticipation of his upcoming conference presentation, Acquisition Funnel for Higher Education at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Feyzi Bagirov, Data Science Advisor at Metadata.io and Analytics Instructor, Harrisburg University of Science and Technology, Becker College, a few questions about his work in predictive analytics. Q: In your

Wise Practitioner – Predictive Analytics Interview Series: Jack Levis at UPS

By: Eric Siegel, Founder, Predictive Analytics World

In anticipation of his upcoming keynote conference presentation, UPS’ Road to Optimization, at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Jack Levis, Senior Director, Process Management at UPS, a few questions...

Making the Move from Predictive Modeling to Machine Learning

By: Robin Davies, Head of Decision Analytics, Principa
Originally published at http://insights.principa.co.za

Everyone is wanting to learn more about how Machine Learning can be used in their business. What’s interesting though is that many companies may already be using Machine Learning to some extent without really realising it. The...

Wise Practitioner – Text Analytics Interview Series: Michael Dessauer and Justin Kauhl at The Dow Chemical Company

By: Steven Ramirez, Conference Co-Chair Text Analytics World Chicago

In anticipation of their upcoming conference co-presentation, Understanding our Customers’ Customers’ Customers’ Needs – Text Analytics for B-to-B Businesses at Text Analytics World Chicago, June 21-22, 2016, we asked Michael Dessauer, Data Scientist at The Dow Chemical...

Boosting Performance of Machine Learning Models

By: Ved Prakash, Data Scientist, Valiance Solutions

People often get stuck when they are asked to improve the performance of existing predictive models. What usually they do is try different algorithms and check their results. But often they end up not improving the...

Wise Practitioner – Text Analytics Interview Series: John Herzer and Pengchu Zhang at Sandia National Laboratories

By: Steven Ramirez, Conference Co-Chair Text Analytics World Chicago

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...

Wise Practitioner – Text Analytics Interview Series: Emrah Budur at Garanti Technology

By: Steven Ramirez, Conference Co-Chair Text Analytics World Chicago

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...

Three Critical Definitions You Need Before Building Your First Predictive Model

By: Dean Abbott, Abbott Analytics and SmarterHQ, Inc.

Portions excerpted from Chapter 2 of his book Applied Predictive Analytics (Wiley 2014, http://amzn.com/1118727967) Successful predictive modeling is more than identifying the right algorithms. And, even though 60-90% of our time is spend on data preparation before...

Machine Learning: Not Necessarily a New Phenomenon in Predictive Analytics

By: Richard Boire, Founding Partner, Boire Filler Group

One of the more recent topics gaining traction in Big Data Analytics is the notion of machine learning. Many people think that this is a recent development or phenomenon occurring as a result of newer Big Data...