predictive modeling

From Machine Learning to Business Learning

Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. It is seen as a subset of artificial intelligence. — Wikipedia Machine Learning is increasingly widely used to make predictions. Using machine learning makes it easier and […]

Analytics Teams: Before You Model

Experienced analytics or data science teams know that two key challenges for analytics projects are making sure you solve the real business problem (framing the problem) and making sure you can operationalize the result(deployment).  In this post I am going to talk about framing the problem and I’ll follow-up with another on deployment.

One of the best ways to think about framing is to consider the questions the analytic team should get answers to before they start building a model:

Some thoughts on KDNuggets’ top trends ahead of Strata Hadoop NYC

Gregory over at KDNuggets had an interesting post with some Top Analytics and Big Data trends ahead of Strata Hadoop NYC Conference based on input from their readers. Three trends struck me: The challenge of communicating complex analyses to non-technical clients/partners We are having increasing success using logical decision models to show how data and analytics drive better […]

Analytic practitioners speak – an interview with author Nauman Sheikh

I have been interviewing analytic practitioners periodically – last year I interested Andrea Scarso, CEO of MoneyFarm and more recently I interviewed Tracy Allison Altman, co-founder of Ugly Research.  Next up is Nauman Sheikh, a seasoned professional of Data & Analytics. Nauman was introduced to me by a client who really liked his book Implementing Analytics: A Blueprint […]

Analytic practitioners speak – an interview with author Nauman Sheikh

I have been interviewing analytic practitioners periodically – last year I interested Andrea Scarso, CEO of MoneyFarm and more recently I interviewed Tracy Allison Altman, co-founder of Ugly Research.  Next up is Nauman Sheikh, a seasoned professional of Data & Analytics. Nauman was introduced to me by a client who really liked his book Implementing Analytics: A Blueprint for Design, Development, and Adoption (as do I). Nauman and I share a passion for making sure that analytics are not just developed, but deployed into decision making systems and processes.

What’s your background, how did you come to be working in analytics?

My background is purely in computer science and Started in software development with Object oriented