Learning “Machine Learning” by Example

A quick overview
There are several online machine learning courses offered right now, Coursera, Udacity, Caltech, Stanford. This course is based on the “learning by example” principle. The students will be introduced in machine learning algorithms and data analysis techniques by actively working on a real dataset.

Course style
In this course we will not follow the traditional lecturing style with powerpoint style. It will be taught in lab sessions. We will have an one hour session every week. The instructor will present an algorithm along with a dataset. The students will use the language of their preference to code the algorithm and then apply it to the dataset.

Tools, hardware
The preferred language is python along with the http://www.mortardata.com platform.

Frequently Asked Questions

  1. Which day of the week will the course take place? Most likely every Friday 4pm to 6pm
  2. When does the course begin? November 9th
  3. Where do you meet every week? The course will take place in the LogicBlox office
  4. Can people participate remotely? We are thinking seriously about that
  5. Does the course include homeworks? Not in the way you mean it in college.  You are not expected though to finish the lab assignments in the 2 hour sessions. You are expected to spend at least another 2 hours or more depending on how deeply you want to go into machine learning
  6. Is there a limit for the number of people attending the class? Unfortunately we cannot host more than 15 people. We can probably accommodate about 20 more remote students
  7. Will you provide the hardware for the course? You will have to bring your own laptop. We will try to get a cloud cluster for running the large scale jobs
  8. Do I have to pay? No the course is for free



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Founded Oct 23, 2012

Our Sponsors

  • Ismion Inc

    The instructor for teaching the courses

  • LogicBlox Inc

    LogicBlox offers space, equipment and instructors payment

  • Predictix

    Paying for cloud time and for TAs

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    Space and great pizza

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