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Dan's Machine Learning Class

This class approaches Machine Learning as software with an API.

Most ML classes focus on under-the-hood topics like Gradient Descent.

This class presents Machine Learning more as a 'black box'.

This class helps you connect your ML project to a variety of APIs available from repositories like MADlib, scikit-learn, and LIBSVM.

The data we feed to our ML projects will come from Yahoo finance as stock prices.

Stock price data is constantly changing, diverse, and interesting.

It makes excellent learning material.

The first class will deal with getting your learning environment setup.

I have great success with running my ML projects on Linux hosts.

You can run Linux hosts inside your laptop using virtualization software.

Also you can run them remotely in large data centers for pennies per hour.

I may be able to get you some free compute time from local cloud providers.

The aim of this class is to get you proficient at building a simple system which pulls in prices once a day, issues predictions, and then helps you visualize the accuracy of your project.

Once you are finished with that, you will be ready for a wide variety of Machine Learning projects.

Here is a checklist of 3 things you need to bring to the first class:

- Good quality Laptop (4GB of RAM, 50GB of free disk, minimum)

- Cent0S 6.5 ISO file on disk, DVD, or thumb-drive:

  http://www.centos.org/download/

- VirtualBox software on disk, DVD, or thumb-drive:

  https://www.virtualbox.org/wiki/Downloads

If you have problems with the above checklist,

try this checklist:

- Wimpy laptop

- An account on one of these cloud providers:

  - NephoScale

  - Amazon AWS

  - Digital Ocean

  - RedHat OpenShift

  - Google Compute Engine

  - Rackspace

If you dont have a cloud account, bring a credit card and I/we will help you get one.

If you come to class with only an iphone or ipad, you will get a sub-optimal learning experience.

This class is for people who want to actually write ML code using a laptop.

If you want to interact with other students outside of class, join this forum using a gmail account:

https://groups.google.com/forum/#!forum/bikletech


Join or login to comment.

  • Dan B.

    Tips for installing MADlib: http://www.spy611.com/blog/madlib

    May 4, 2014

  • Dan B.

    A bit of a learning experience!

    1 · April 27, 2014

  • Atul P.

    Dan is Incredibly knowledgable and passionate about Machine learning. I know that the class enjoyed this session. Thank you!

    1 · April 27, 2014

  • veena

    It was a great class. Learnt quite a bit but lots to learn.

    1 · April 26, 2014

  • Xiaoshan Z.

    Ik here and I can't find the room. Which room is it?

    April 26, 2014

  • Esref D.

    Still at wait list, if you not going please change your response to NO

    April 26, 2014

    • Denis S.

      Hi Esref, I changed mine from yes to no. I'll catch the next one.

      April 26, 2014

  • A former member
    A former member

    Thanks, Dan for doing this for members. I encourage others to host workshops and sessions as well. In your cafe at your job. At Hacker Dojo... Bravo!

    1 · April 25, 2014

  • A former member
    A former member

    Is it still worth going if we don't have a laptop?

    1 · April 23, 2014

    • Sandeep S

      What language will the coding be in?

      1 · April 23, 2014

    • Dan B.

      Beginners: Shell, SQL. Advanced students: Shell, SQL, Python, R, Java, Ruby, JavaScript(D3.js)

      1 · April 23, 2014

Our Sponsors

  • Aerospike

    A special thanks to Aerospike for hosting our June 5, 2014 meet-up

  • Modern Massive Data Sets Foundation

    Raffle 3 passes to MMDS 2014 Workshops June 17-20, 2014 at UC Berkeley

  • GigaOm

    Raffle+25% Discount Code to the STRUCTURE Conference June 18-19, 2014

  • Internet of Things World

    Raffle+15% discount code to Internet of Things World, June 16-19, 2014

  • Academy of Science and Engineering

    Free 5-day Stanford conference pass May 27-31, 2014

  • Professional Association for SQL Server

    Raffle+Discount Code to the PASS Data Analytics Conference May 7-9, 2014

  • UC Berkeley School of Information

    Raffle+Discount Code to the DataEDGE Conference May 8-9, 2014

  • GridGain

    A special thanks to GridGain for hosting our May 1, 2014 meet-up.

  • Innovation Enterprise

    Raffle+Discount Code to the Big Data Innovation Summit April 9-10, 2014

  • Google

    A special thanks to Google for hosting our April 3, 2014 meet-up.

  • DatumFora

    DatumFora raffled off 2 passes to the Data360 Conference April 2-3, 2014

  • Facebook

    Special thanks to Facebook for hosting our March 6, 2014 meet-up.

  • Opallios

    Peter Zadrozny, Founder and CTO, is our guest speaker March 6, 2014.

  • Groupon

    Special thanks to Groupon for hosting our February 6, 2014 meet-up.

  • O'Reilly Strata

    O'Reilly raffled a Strata Conference 2014, Making Data Work pass!

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