The London Java Community’s next free event is – Are you better than a Coin Toss? on Wednesday 14th July at 18:15.

Please see link for details and to sign up –

Presented by Richard Warburton and John Oliver (1 hour presentation)

So you’re a big data and distributed systems “expert”, you’ve collected 500 billion data points, thrown it into sci-lib-of-the-week, you’re using Hadoop, backing onto those cool AWS GPU instances, let it grind away for days and its spit out the answer to life the universe and everything.  But is it really better than a coin toss?

How do you validate whether your data analysis algorithm works?  Are you learning a solution to your problems or just the data you already have?  What problems can you encounter when analysing your data?  How do you solve them, and what can you do easily under the time pressures of a business environment?

We’re here to put the Science back into Data Science.

Who should attend:

Any developer might be interested, but especially those building big data analytics solutions.


Richard Warburton – @RichardWarburto

Richard is an empirical technologist and solver of deep-dive technical problems. Recently he has been working on data analytics for high performance computing at jClarity and is writing a book on Java 8 Lambdas for O’Reilly.  He is a leader in the London Java Community, sits on their JCP Committee and organises the Adopt-a-JSR programs for Lambdas and Date and Time in Java 8.  Richard is also a known conference speaker, having talked at JavaOne, DevoxxUK and JAX London. Previously he worked on static analysis problems, verifying part of a compiler and developing automated bug detection technology.  He obtained a PhD in Computer Science from The University of Warwick where his research focussed on compiler theory.

John Oliver – @johno_oliver

John has performed research and development in many languages for 15 years, on various platforms from micro controllers, robots, simulations, desktop applications and web services. Currently he is working at jClarity, applying the tools of machine learning to analyse and diagnose performance problems.John holds a PhD in Engineering from Warwick University working on algorithms for coordinating mobile robotic teams. During his study he performed extensive work on both physical and simulated robotic platforms, competing in a number of national and international robotics competitions.

Please see link for details and to sign up –


Organised by RecWorks: