I am writing a series of blog posts based on a paper from a colleague, Andreas Tolk. Andreas is presenting a paper entitled, “The Next Generation of Modeling & Simulation: Integrating Big […]
What is Deep Learning?
Thinking Like A Data Scientist Part III: The Role of Scores
In New Zealand, they are taking a “Moneyball” approach to optimizing social worker spending and focus attention can be most effective. A recent article in BusinessWeek “A Moneyball Approach To Helping Troubled […]
Thinking Like a Data Scientist Part II: Predicting Business Performance
In “Thinking Like a Data Scientist Part I: Understanding Where To Start”, we examined the challenges for getting the business users to think like data scientists when contemplating where and how to […]
Big Data Glossary – Part 2
Picking up from where we left off in Big Data Glossary – Part 1, here is a list of some more of the big data terminologies simplified: 16. Legacy System – In the context […]
Thinking Like a Data Scientist Part I: Understanding Where To Start
One question I frequently get is: “How do I become a data scientist?” Wow, tough question. There are several new books that outline the different skills, capabilities and technologies that a data […]
Big Data Glossary – Part 1
The big data analytics space is evolving at a tremendous speed, so is the terminology used in the space. This terminology is sometimes really hard to understand. Here is a list of […]
Big Data Insights: Reinventing Customer Experiences
The importance of gathering and managing the right consumer data, applying analytics to generate valuable insights and translating those insights into effective front-line action cannot be emphasized enough for companies, especially those […]
