Videos in category Yahoo!

John Resig of the Mozilla Corporation, and the creator of the popular jQuery library, talks about the challenges of DOM/JavaScript programming and his preferred strategies for meeting those challenges.

Smoke: A ruby based dsl that allows you to reinterpret, rearrange and mash collections of data together in multiple formats.

Streamline your Yahoo searches Love the streamlined look of Google, but long for a search alternative? Veronica has the answer for you on today's Tekzilla Daily.

See how Yahoo! is leveraging Silverlight plug-in components to deliver a visually appealing, rich, cross-platform user experience without having to re-do their various back-end infrastructures. Matt Smith Matt Smith is a recognized digital media industry evangelist and speaker. He presently serves are Senior Director, Systems Architecture for Inlet Technologies. In this role, Smith works closel...

Summary In this presentation filmed during QCon SF 2008, Jonathan Trevor presents two Yahoo! technologies: Pipes and Y! Query Language (YQL). Both technologies can be used to process data obtained from various sources, but while Pipes is limited to Yahoo web services, YQL can process many types of data. Bio Jonathan Trevor works in the Platform group at Yahoo!, where he gets to improve, innovat...

Tom Hughes Croucher of Yahoo presented YOS at the panel. This is his intro presentation. He presented a good balance to the Java talk from Marina Fisher and Java stories from Steve Cohen of Bebo, about using Php. Audience were interested in Yahoo's Data Pipe and accessing yahoo's data as a platform.

Summary In this presentation, Ian Flint, Director of Operations for Bix, Yahoo!’s online contest service, tries to explain the infrastructure and architecture employed by Yahoo! to keep going a multitude of servers running of different platforms and offering different services. Bio Ian Flint is a 15-year veteran of Silicon Valley. He has been on the founding team of two successful startup...

The tutorial is on several new pieces of Reinforcement learning theory developed in the last 7 years. This includes: Sample based analysis of RL including E3 and sparse sampling. Generalization based analysis of RL including conservative policy iteration and RL-to-Classification reductions. For each of these forms of theory, we cover the basic results and cover the weaknesses and strengths of t...

We study the number of Internet search results returned from multi-word queries based on the number of results returned when each word is searched for individually. We derive a model to describe search result values for multi-word queries using the total number of pages indexed by Google and by applying the Zipf power law to the word per page distribution on the internet and Heaps' law for uniq...

There are several different classification problems commonly encountered in real world applications such as 'importance weighted classification', 'cost sensitive classification', 'reinforcement learning', 'regression' and others. Many of these problems can be related to each other by simple machines (reductions) that transform problems of one type into problems of another type. Finding a reduct...