Location: Mountain View, CA
Location: Mountain View, CA
In this talk, “Using Go for Statistical Programming,” , student at Cornell Tech, discusses how to use Google’s Go programming language for statistics. This talk was recorded at the New York Open Statistical Programming meetup at Knewton.
While R is the language of choice for academic statisticians, data scientists sometimes use other languages and frameworks for advantages such as distributed computing, speed, and portability. Go, a new language developed by Google, provides a convenient alternative for statistical work, with built-in concurrency features and a focus on both speed and stability. In this talk, Aditya will provide an overview of the current state of statistical programming in Go, and some basic tips for getting started.
This talk is by Peter Norvig , Engineering Director at Google. It was recorded yesterday at NYC Machine Learning meetup .
Peter Norvig will talk about programming education, focusing on University sponsored courses such as Harvard and MIT´s edx online courses, Udacity and other online educational programs.
This talk is by , Staff Software Engineer at Google. It is one of the series of tech talks hosted and sponsored by Airbnb .
Brad will give a tech talk on Go, a new general-purpose programming language developed at and in use by Google, with contributions from nearly 300 open source contributors.
Go gives you the fun and agility of scripting languages, the performance of traditionally-tedious statically typed languages, and built-in language concurrency mechanisms to let you write simple and straight-forward code whether it’s small “scripts” or huge servers dealing with millions of action connections, without the pain of either event-based code or the pain of threads.
This presentation was from , a quantitative modeling engineer at Google. It was recorded at a SF data mining meetup. The talk focused on the role of Crowdsourcing in the data analysis toolkit. Specifically, Edwin discussed use cases, including measuring the relevance of personalized search, gathering training data for machine learning classifiers and designing a system that incorporates crowdsourcing in real-time, high-quality research.
He also talked about advantages and challenges of crowdsourcing using using Mechanical Turk, and examples of the level of quality that is possible from Workers.
Dr. Christian Posse was the last panelist at the recent Controlled Experimentation (A/B Testing) Meetup at Microsoft. In this talk, Christian shares some of the problems he’s seen in the social network field. Not a single piece of code, algorithm, feature, or user experience goes out without A/B Testing. He discusses their development of a system of hashing functions over at LinkedIn that allow them to run millions of A/B tests concurrently without interactions between them.
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Slides & Bio
Today we’re bringing you the audio from the February 25 Udacity study group at Google. , , and are on hand answering questions on the HTML5 game programming course.
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Full audio & slides for this talk posted here.
Doug: Greetings programmers. Welcome to Tech Exploration. I’m Doug Crockford. In a moment I’m going to introduce my friend Steve Souders. Steve began looking at problems of performance of websites while he was at Yahoo. A lot of people had looked at that problem before and would usually do things like fiddle with a database or fiddle with the servers and try to figure out why they weren’t going faster. Steve looked at the whole web as a system. Everything from the server end to the browser and discovered that the browser doesn’t work anywhere near as well as we thought it would or should and found lots of work-arounds for that, which substantially speeded up webs. He wrote a number of articles about that and then published a couple of best-selling books on High Performance Websites and Even Faster Amazon or Even Faster Websites. They have earned the rank of 48,000 and 66,000 in Amazon, which is pretty great. So here he is, the fastest man in the world, Steve Souders.
Here’s the audio from third talk of the SF Go Meetup last week at Heroku.
Talk #3 - Rob Pike (Google Go team) on Less is Exponentially More
(17 mins)
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