A recent announcement appearing in MIT News, “Machine learning branches out,” highlights new research in probabilistic graphical models. In a paper being presented in December at the annual conference of the Neural Information Processing Systems Foundation, MIT researchers describe a new technique that expands the class of data sets whose structure can be efficiently deduced. […]
AMT is a clearinghouse for performing Human Intelligence Tasks, i.e. things best done my humans equipped with the most powerful computer of all – the brain. AMT is a facility used by machine learning developers to get results from Mechanical Turk workers, and allows average human computers (you and me) to earn a small stipend for each classification completed.
O’Reilly Media does it right. Their PR department gives valuable support to the grassroots efforts in the data science community by helping out local Meetup groups. A case in point is how they provided a number of current titles to be given away as raffle prizes for the Los Angeles R User Group of which […]
What’s your favorite pie, New York Style or Chicago? In a “practical” example of why companies are rushing to apply many of the principles of Big Data to their businesses, Los Angeles-based Factual published a quick analysis of its gigantic database in the sky to analyze where New York style pizza and Chicago style pizza are most popular.
Geoff Gordon and Alex Smola, professors in the Carnegie Mellon University machine learning department have made available course materials for the Introduction to Machine Learning class open to anyone with a desire to get up to speed with this growing field of technology.
ACM offers a number of free technical webinars taught by recognizable thought leaders. Here is a compelling presentation by professor Joseph A. Konstan of the University of Minnesota – “Recommender Systems: The Power of Personalization.”
The first four installments of the Big Data & Customer Intelligence series focused on predicting and influencing customer behavior, looking at determining customer value, and understanding your customer’s social influence. In this final article of the series, we’ll take a hard look at exploring customer sentiment which is another important element of Computational Marketing.
One of the most important mechanisms in machine learning is to train your algorithm on a training set that is separate and distinct from the test set for which you’ll gauge its accuracy. Failure to do this will result in a model that may not generalize to yet unseen data.