Listen to O’Reilly Podcast: Claudia Perlich, Chief Scientist @ Dstillery on “Big Data in Advertising” and how machine learning is impacting advertising. Read More
Watch 2 Lectures on building Recommender Systems using Machine Learning given by the Director of Research/Engineering at Netflix at Carnegie Mellon University this Summer.
Its 2 parts at 2 hours each, touches on what is practical and important, and worthwhile if you have an interest in personalization and recommender algorithms. Watch Lectures
In this 20 minute Video, Mikio Braun, Data Scientist at Streamdrill, discusses novel systems based on stream mining algorithms which accumulate statistics on user behavior in real-time in a streaming fashion, this way always reflecting the most recent user behavior. Watch Video
Video |Steve Milton, Co-founder & CTO at PlaceIQ, one of NY’s fastest growing start-ups, talks “Strategies for Devs Who Aspire to Start and Lead Companies” at CTO School (Via Hakka Labs). Watch Video
Stanford University’s Susa Athey will describe the application of these techniques to advertiser behavior in sponsored search advertising auctions, focusing on how the models can be used for marketplace design and management Watch Video
AdExchanger asked data scientists from Decide.com, a price research firm acquired by eBay, and location analytics company Placed to describe a problem they’ve solved in a snapshot look at the roles data scientists play. Read on for their (lightly edited) responses. Click Here..
My client is looking for outstanding engineers who love solving interesting challenges related to data at scale to help us answer questions like these. Review Job Description | Apply
Dr. Saed Sayad is the chief data scientist at AdTheorent. Saed is an adjunct professor at the University of Toronto and has more than 20 years of experience in data mining and statistics.
In this interview he gives us detailed and technical information about the process of real-time analytics and how it is applied to website advertising. Read More…
Real-time bidding is a kind of automated or programmatic buying of advertising placements. It is to digital advertising what high-frequency trading is to Wall Street. It involves computerized, algorithm-driven trading that allows for quick buying of ad impressions according to pre-set parameters.
On the desktop, programmatic or automated buying of display ads has already made huge inroads. Its advocates say that it has led to a more transparent and efficient digital ad market. But it is in mobile where programmatic buying may make the most difference.
(Source: HuffingtonPost.com) Big companies know big data, and they’re dominating in their use of it. With millions of active users each month, online industry powerhouses such as Amazon, Twitter, and Netflix have determined some pretty brilliant ways to use analytics to predict consumer’s needs, behaviors, and attitudes — and keep them coming back for more. […]