The Learning Edge

MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In this lecture, we explore support vector machines in some mathematical detail. We use Lagrange multipliers to maximize the width of the street given certain constraints. If needed, we transform vectors into another space, using a kernel function. License: Creative Commons […]

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Allen Downey Olin College of Engineering Presented at Strata NYC 2015 http://conferences.oreilly.com/strata/big-data-conference-ny-2015 Abstract: Bayesian methods are well-suited for business applications because they provide concrete guidance for decision-making under uncertainty. But many data science teams lack the background to take advantage of these methods. In this presentation I will explain the advantages and suggest ways for […]

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Big data is an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process using traditional data processing applications.The challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. With Apache Hadoop, no data is too big. Big Data and Hadoop training course is […]

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Deep Learning: Intelligence from Big Data Tue Sep 16, 2014 6:00 pm – 8:30 pm Stanford Graduate School of Business Knight Management Center – Cemex Auditorium 641 Knight Way, Stanford, CA A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity […]

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