Data Science, Machine Learning, Marketing, and the Customer Experience

Nate Payne will be giving a talk going over using Data Science, Machine Learning, Statistics and R on real-world data. Here are the details:

With increased access to data, decreasing time, and increased pressure, marketers, business analysts, statisticians, and managers at all levels are constantly faced with the challenge of making sense of complex, correlated, and heteroscedastic data. In order to deal with these challenges at scale and provide answers to stakeholders through their organizations, individuals in these roles - in nearly every discipline - are increasingly looking to machine learning for help. As a Director of Research & Analytics, Nate Payne faces these challenges on a daily basis. To overcome these challenges and provide answers to Nate's clients, Nate and his team, regularly use R to model trends, build visualizations, mine databases, and clean data. In Nate's talk, he intends on illustrating the techniques and tactics from machine learning that can be used to solve useful business and marketing questions. Furthermore, he will show R code, and provide numerous examples from his own experience of the types of problems that various machine / statistical learning algorithms are good at solving, including regression, classification, and clustering algorithms.


We'll also have a few short lightning talks. So far...

• Jamie King from Pulse Energy will speak about their analytics work.

• Jenny Bryan will give a short talk on the UBC Stats grad program, Data Science @ UBC, what's happening at UBC with R.

(If anyone is interested in giving a short 5-to-15 minute long, please let us know.)

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  • Paul T.

    Remember Ben's talk on R Data Tables? Our team at Pulse Energy is looking for a data scientist. See "Energy analytics developer" on this page:

    Feel free to get in touch with myself or with Ben if you're interested or have any questions. [masked]

    November 13, 2013

  • A former member
    A former member

    Great meetup

    October 30, 2013

  • Dora QinTing Z.

    Awesome speakers and audience!

    October 30, 2013

  • Tavis R.

    Big thanks to Nate, Ben, and Jenny along with Scott and the other audience members I roped into talking!

    October 29, 2013

  • Nathaniel P.

    Thanks all for coming! If you have questions, feel free to reach out via e-mail at [masked] or [masked]. On Twitter, you can connect @NatePayne. On LinkedIn, look for me under Nathaniel Payne. I will post the slides later tonight and look forward to presenting again perhaps next year & being in the audience at future meet-ups! So much to talk about & lots to learn. Also, if you are interested in getting in on one of those study groups I mentioned, just shoot me an e-mail. Keep in touch!

    October 29, 2013

  • Jonathan

    It was really fun. I had to leave early, but I am sure that I will be attending future meet ups.

    October 29, 2013

  • Taejoon Y.

    very interesting topic having a strong relations with our topic, social big data analytics and market intelligence. hope to see this great presentation.

    October 29, 2013

  • Alan M.

    great topics

    October 23, 2013

  • David D.

    Looking forward to the presentation. Is someone recording it?

    October 8, 2013

  • Abhijeet

    This is gonna be rad! Can't wait!

    1 · September 26, 2013

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