Our website is possible thanks to Cherry Creek High School. Use of the text, Machine Learning in Action, is possible thanks to permission from the author, Peter Harrington, and Manning Books (who have offered us a generous group discount) for allowing us to present notes and examples from Peter’s Machine Learning book, which you are encouraged to purchase (it is available in paperbook and eBook form):

Machine Learning in Action (MLiA)
Peter Harrington
Manning Publications Co. Greenwich, CT
April 2012
Barnes and Noble
Manning (eBook)
Source code

One thought on “Acknowledgements

  1. Items from the 6/27 meetup:
    – Using the full two hours scheduled for the meeting: because it was suggested to accommodate people who have only one hour, have the first hour be self contained. Because a number said they can stay two hours, plan a second project just for the second hour. All notes will be on the website for those who can’t be present.
    – Planning topics in advance: Linear classifiers, Bayesian methods, decision trees, dimension reduction, boosting/adaboost, etc.
    – Improved Python installation instructions, including Anaconda and installing if Python 3 already present/using VirtualBox+Ubuntu VM
    – Possibly an extra Statistics-focused meeting, optionally on the weekend
    – Producing material members can use to prepare before meetings, e.g., reducing time spent on background material in meetings


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