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PredictionIO - An Open Source Machine Learning Server for Developers

Simon Chan - PredictionIO

eBay Whitman Campus
2065 Hamilton Ave
San Jose, CA

6:30 Food & Networking
7:00 Presentation

Event Details

With the advancement of Machine Learning, software applications can now learn from Big Data efficiently and perform all kinds of intelligent tasks. One of the biggest challenges for engineers in building real world predictive applications is the steep learning curve of mastering multiple data-processing frameworks, algorithms and scalable systems

This talk will begin with an overview of how Machine Learning, and user preference prediction in particular, is empowering our world in many aspects, and why it will play a key role in our future daily life. I will then discuss some core Machine Learning concepts such as Collaborative Filtering techniques, hyper-parameter optimization and scientific evaluation metrics. I will demonstrate, with live sample codes, the use of open-source technologies such as Hadoop, Cascading, Scalding and PredictionIO in adding predictive features such as personalization, recommendation and content discovery to an application. You will also see how PredictionIO's user-friendly control interfaces can evaluate, compare, select and deploy learning algorithms; tune hyperparameters of algorithms manually or automatically; and review the predictive model training status. By the end of the talk, you will have mastered the whole process of predictive modeling, and will be able to apply scalable algorithms to a real software production environment.

Speaker Bio

Simon Chan is a co-founder of PredictionIO. After a brief spell as a software engineer in the Bay Area after graduating from university, Simon became an entrepreneur and founded three startups in the past 10 years. He specializes in machine learning and recommendation technology, and has a strong interest in social applications. He graduated from the University of Michigan, Ann Arbor with a degree in Computer Science. While being an entrepreneur, he is also a PhD candidate in Machine Learning at University College London.

Event page provided by ACM

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  • Karl A.

    Video from the lecture is now available on our SFBayACM YouTube channel

    February 4, 2014

  • Esther L.

    Great presentation and good Q&A

    October 29, 2013

  • Simon C.

    Thanks for listening to the talk.

    If you are interested in implementing PredictionIO in your application, I would strongly encourage you to take a look at the product video at and skim through some sample use cases.

    October 28, 2013

  • Yap Wooi H.

    Unable to attend this one. So one more seat is up for grab

    October 28, 2013

  • Sahan B.

    Something came up at work. One more seat available. All the best Simon...

    1 · October 28, 2013

  • Jiunjiun M.

    Will this event be recorded?

    1 · October 27, 2013

  • Shuang W.

    something just came up at work, someone please take my spot and enjoy.

    October 28, 2013

  • A former member
    A former member

    Would be interested in a copy of the presentation slides / code samples.
    Look forward to how Mahout compares and competes to these.

    October 27, 2013

  • Artem K.

    Interested in machine learning technologies

    October 21, 2013

  • Artem K.

    Interested in machine learning technologies

    October 21, 2013

  • Manali


    October 14, 2013

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