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Mart van de Ven
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Traders, analysts and investors are always looking for techniques to better predict price movements. Knowing whether a security will increase or decrease allows traders to make better investment decisions and manage risk more effectively. We are lucky to have Kris discuss the various frameworks and tools which can be used in an attempt to predict stock price. Kris ranked highly (top 10%) in BattleFin's Big Data Combine on Kaggle [https://goo.gl/g1QrfN] and he will use his experiences there to illustrate his approach.

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Data driven businesses expect their analytics to be insightful right when decisions are being made. To reduce the time it takes to deliver those insights, data engineers automate parts of the analytics process by setting up data pipelines. But how do you set up a data pipeline without escalating complexity and earning your future self’s wrath?

RSVP : http://symbolandkey201506.eventbrite.hk/

We welcome Michal Szczecinski as this month’s guest speaker to share his thought process for setting up an effective analytics environments. Michal is the Analytics Scientist at GoGoVan, and founder of Oxford’s Quantified Self and Artificial Intelligence meetups.

Analytics teams spend the majority of their time on processing, aggregating, blending and improving the quality of data. It is thus essential to automate a number of these processes and tasks. Not only to provide efficient support but also to allow analytics teams to turn to new questions and business problems as they arise. Michal will cover common cases, challenges, frameworks and patterns he came across when solving for the complexity that comes with automating an analytics workflow.

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Getting ready for #Fedora  22!
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2015-05-20
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Oct 4 night, Mong Kok
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