Machine Learning - Stanford University

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Machine Learning - Stanford University

Owen Densmore
Administrator
An update and prod for folks interested in Machine Learning at the Complex.

Steve sent out earlier message to Friam on the Stanford Machine Learning class that is a new experiment on open education:
http://ml-class.org/
The class will be world wide, and free.  And if you finish you'll get a certificate of achievement.  43,874 people have signed up as of this morning!

If you think you'd like to attend, watch the two videos on the page above and check the FAQ there.  The class will start October 10, and end on December 16.  We may also have some UNM support that Ed is looking into.

If you haven't hit delete yet, you can check out some of the prior class notes and videos:
Lots of info there.  The notes alone are a 142 page book!

   -- Owen

---------- Forwarded message ----------
From: <[hidden email]>
Date: Thu, Aug 18, 2011 at 12:15 PM
Subject: Stanford Machine Learning Class
To: [hidden email]



Dear Owen Densmore,

Thank you for signing up for Machine Learning.  We will contact you with more information when the course becomes available.

Andrew Ng
Stanford University

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org
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Re: Machine Learning - Stanford University

Edward Angel
To expand on what Owen wrote about the possibility of having UNM participate, the idea is build wither an independent study or special topics class around the Stanford course. The discussions thus far are based on the notion that the credit course would be involve a significant ML project of interest to the Complex and UNM. Anyone wanting credit would have to pay UNM tuition, either as a regular or non-degree student.

Ed
__________

Ed Angel

Chair, Board of Directors, Santa Fe Complex
Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab)
Professor Emeritus of Computer Science, University of New Mexico

1017 Sierra Pinon
Santa Fe, NM 87501
505-984-0136 (home)   [hidden email]

On Sep 1, 2011, at 2:15 PM, Owen Densmore wrote:

An update and prod for folks interested in Machine Learning at the Complex.

Steve sent out earlier message to Friam on the Stanford Machine Learning class that is a new experiment on open education:
http://ml-class.org/
The class will be world wide, and free.  And if you finish you'll get a certificate of achievement.  43,874 people have signed up as of this morning!

If you think you'd like to attend, watch the two videos on the page above and check the FAQ there.  The class will start October 10, and end on December 16.  We may also have some UNM support that Ed is looking into.

If you haven't hit delete yet, you can check out some of the prior class notes and videos:
Lots of info there.  The notes alone are a 142 page book!

   -- Owen

---------- Forwarded message ----------
From: <[hidden email]>
Date: Thu, Aug 18, 2011 at 12:15 PM
Subject: Stanford Machine Learning Class
To: [hidden email]



Dear Owen Densmore,

Thank you for signing up for Machine Learning.  We will contact you with more information when the course becomes available.

Andrew Ng
Stanford University
============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org


============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org
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Re: Machine Learning - Stanford University

Owen Densmore
Administrator
In reply to this post by Owen Densmore
I'd like to hear from folks interested in taking the Stanford Machine
Learning course (free) see below.  We could create a google-groups
site, much like we did for Ed's Graphics class if it turns out there
is enough interest.

So I'd like a count so that we could plan on additional resources to
make our experience even better.

If you need more info, simply look at the videos and track down the
course materials
    http://cs229.stanford.edu/materials.html.
I've made two pdf's concatenating the Lecture Notes and Section Notes:
    http://backspaces.net/temp/CS229.pdf
    http://backspaces.net/temp/CS229Math.pdf

BTW: There is an active Reddit group already:
http://www.reddit.com/r/mlclass/ It's a good resource pointing to
existing videos, questions sessions and so on.

        -- Owen

On Thu, Sep 1, 2011 at 2:15 PM, Owen Densmore <[hidden email]> wrote:

> An update and prod for folks interested in Machine Learning at the Complex.
> Steve sent out earlier message to Friam on the Stanford Machine Learning
> class that is a new experiment on open education:
>
> http://ml-class.org/
>
> The class will be world wide, and free.  And if you finish you'll get a
> certificate of achievement.  43,874 people have signed up as of this
> morning!
> If you think you'd like to attend, watch the two videos on the page above
> and check the FAQ there.  The class will start October 10, and end on
> December 16.  We may also have some UNM support that Ed is looking into.
> If you haven't hit delete yet, you can check out some of the prior class
> notes and videos:
>
> http://www.stanford.edu/class/cs229/
> http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599
>
> Lots of info there.  The notes alone are a 142 page book!
>    -- Owen
> ---------- Forwarded message ----------
> From: <[hidden email]>
> Date: Thu, Aug 18, 2011 at 12:15 PM
> Subject: Stanford Machine Learning Class
> To: [hidden email]
>
>
>
> Dear Owen Densmore,
>
> Thank you for signing up for Machine Learning.  We will contact you with
> more information when the course becomes available.
>
> Andrew Ng
> Stanford University
>

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org