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Neo4j Full Stack Applications + Python, R and Neo4j - The Data Science Stack

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Neo4j Full Stack Applications + Python, R and Neo4j - The Data Science Stack

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This month we're going to have a double header featuring talks by Neo4j's Data Scientist Nicole White (https://twitter.com/_nicolemargaret) and Matt Wright (https://twitter.com/mrmattwright), CTO of recruitment startup Stitched (http://stitched.io/).

Neo4j Full Stack Applications - Lessons and Disasters from the field.
Matt Wright, CTO, Stitched

Once you’ve gone neo4j full stack, you’ll never go back!

If you are considering using neo4j as your core database, this is the talk for you.

Matt will share his team's failures and successes in building Search algorithms, Social Networking applications, recommendation engines, graph visualisations and Java Unmanaged Extensions in neo4j.

He'll also point out the potential pitfalls that lie in wait and how to avoid them.

What’s a good architecture and modelling pattern to work towards? Matt and his team have been using neo4j full time for 18 months and will share what has worked for them as well as sharing some of their glorious and spectacular failures.

Warning: Contains hairballs, Ruby, Java, angular.js and Kiwis.

Python, R and Neo4j - The Data Science Stack
Nicole White, Data Scientist, Neo Tehnology

Most data scientists will tell you that they spend the majority of their time cleaning and munging data and only a fraction of their time actually building predictive models.

This is true in a traditional stack, where most of this data munging consists of writing some flavour of SQL – a lot of it. And, if the domain is highly-connected, some questions may even be impossible to express in SQL due to its tabular limitations.

With the appropriate technology stack, however, a data scientist’s development process is seamless and short: learn how to combine the compact syntax of Python and the powerful statistical capabilities of R with the flexibility of an open source, schema-less graph database Neo4j to build a data scientist’s optimal open source stack.

Please make sure you sign up on the Skillsmatter registration page as well (https://skillsmatter.com/meetups/7465-neo4j-full-stack-applications-lessons-and-disasters-from-the-field) to ensure swift access to the venue.

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