Tag Archives: Machine Learning

Recommender Systems at Etsy, Kamelia Aryafar

Recommender Systems at Etsy, Kamelia Aryafar

  Kamelia Aryafar is part of the Data Science team at creative marketplace Etsy. At AirBNB’s OpenAir Tech Talks, she described how the uniqueness of products on offer mean that approaches to machine learning are tailored to each individual Product team. Invariably, handmade items on Etsy are one of a kind, so how do you figure out how a recommender system ...

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Solving Machine Learning Problems at Netflix with Spark and GraphX

seattle skyline

The personalized video recommendations which are served up by Netflix are a glossy front page which is a result of Research Engineers like Ehtsham Elahi rolling his sleeves up for machine learning challenges every day. Machine Learning is a core part of the Netflix product with everything impression being recommended by an algorithm. One of the challenges for Netflix is scale ...

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Python and Machine Learning with H20, Cliff Click, Co-Founder at H20

Python and Machine Learning Demo, Cliff Click, Co-Founder at H20

Cliff Click, Co-Founder of open source distributed machine learning platform, H20, was one of the speakers at PyData a couple of weeks back in Dallas in which he gave a demo of H20 using IPython Notebook. H20 uses a hand picked suite of open source tools and libraries to make it easier to solve data challenges using machine learning. One of ...

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Assembling a Machine Learning Team, Ewa Dominowska, Facebook

How to Build a Machine Learning Team, Ewa Dominowska, Facebook

If you need a bit of guidance with knowing how to get your machine learning project off the ground and who to hire, this talk might give some pointers. Facebook Engineering Manager Ewa Dominowska presented at the Seattle iteration of MLConf giving insight into how to go about building effective teams in an era where the appetite for unravelling large ...

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Machine Learning for SQL Query at Facebook, Christopher Berner, SF Analytics Meetup

Facebook’s Christopher Berner on Adding Machine Learning Capabilities to PrestoDB with PrestoML

Last week’s SF Big Analytics Meetup featured two talks by Christopher Berner of Facebook as well as Mohitdeep Singh from Rdio talking about non-parametric bayesian approaches which allow learning of infinite clusters. Berner explained how at Facebook, his machine learning capability plugin for distributed SQL query engine Presto started out as a Hackathon project. PrestoML joins the power of machine ...

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Natural Language Processing in Python – Tomasz Kuczmarski, STX Summit, Poland

Natural Language Processing in Python – Tomasz Kuczmarski, STX Summit, Poland

STX Next are predominantly a Python shop based out of Poland that offer superhero like problem solving capability with the premise that clients get full live access to the scrum board and expertise in assembling a fully Agile team in 21 days. In March they invited more than 200 guests to attend the first STX Summit for dinner and talks on ...

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7 Machine Learning Pioneers Timeline

AlanTuring

The sorcery of work in machine learning systems nowadays owes itself to a pedigree of pioneers in artificial intelligence, mathematics and computer science that laid the flagstones for others to walk. Whilst I am always interested in reading about how the giant research labs of Google, Netflix, Baidu and so on are pushing the envelope with what can be achieved, ...

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Microsoft’s Project Oxford Live Demo at Build 2015, Dr Harry Shum & Ryan Galgon

Microsoft’s Project Oxford Live Demo at Build 2015, Dr Harry Shum & Ryan Galgon

The leaves are rustling at Project Oxford, the Microsoft venture which offers a portfolio of Rest APIs and SDKs which give developers the tools to be able to add intelligent services to their applications without having to spend vast resources on creating their own machine learning capabilities in order to showcase features like facial or speech recognition. Microsoft has released the ...

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Using Machine Learning to Tell You What You Are Thinking, Ted Willke, Intel Labs

Frame of Mind series. Composition of  human face wire-frame and wave elements to serve as a supporting backdrop for projects on mind, reason, thought, mental powers and mystic consciousness

Ted Willke’s work at Intel Labs has seen him use well known toolsets to bring order to the chaos of big data, guiding his teams through massive updates to graph based machine learning and data mining software to allow Data Scientists to extract the best possible value from data sets. This must have been as good a preparation as any ...

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