The vast possibilities of artificial intelligence are of increasing interest in the field of modern information technologies. One of its most promising and evolving directions… Read More »Practical Apache Spark in 10 minutes. Part 4 – MLlib
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as… Read More »Bill Vorhies Retrospective: Part 6
Okay, that may be the most complicated title that I’ve ever read, but here’s the point of that title: Most people don’t know what they… Read More »Using Design to Drive Business Outcomes, or Uncovering What You Don’t Know That You Already Know
Summary: The fourth and final AI strategy we’ll review is Systems of Intelligence (SOI). This is getting nearly as much attention as the Vertical strategy… Read More »Comparing AI Strategies – Systems of Intelligence
After years of working on your PhD and being in academia, transitioning into a Data Science career can be a culture shock. It’s important to… Read More »Academia to Industry: Applying Your PhD In Business
Updated from original posted on April 17, 2014 The importance of metadata only continues to grow as organizations are realizing that to fully exploit the… Read More »Importance of Metadata in a Big Data World
While many companies have embarked on data analytics initiatives, only a few have been successful. Studies have shown that over 70% of data analytics programs… Read More »Why Data Analytics is Heavy on Data Engineering?
In this tutorial a short introduction to Time Series Modeling and Forecasting is presented. Time Series appears in many industries today that rely on predicting and… Read More »Time Series Analysis and forecasting – Tutorial
Big data, Data Science, and smart insights! These are terms we commonly hear and read when discussing business decisions, industry competition, and customer needs. As… Read More »How Can Project Managers Use Data Science?
This is my presentation for the IBM data science day, July 24. Abstract After reviewing popular techniques used in supervised, unsupervised and semi-supervised machine learning,… Read More »Feature Selection For Unsupervised Learning
