At the Hacker Dojo they taught a Machine Learning class based on the
Stanford CS229 materials. Most of the tutorials were dense but very
wellwritten.
But the class was quite advanced for most of the programmer
participants. It was 30 years since I had watched someone write Greek
letters in front of a class. A struggle to be sure, but the instructor
loved doing it.
They are now doing two classes, beginning and advanced. The Stanford
CS229 is the advanced. The beginning class uses a stats & other things
course from San Jose State.
The Stanford professor/grad student crew won an autonomous vehicle
competition 2 years in a row. They have this great video of the car
doing a stunt: accelerate in reverse, slam the wheel and brakes, and
do a skidding Uturn backwards into a parking space. They recorded a
stunt driver and set up the car to switch between closed and
openloop controls.
On Tue, Mar 8, 2011 at 4:38 PM, Ted Dunning <ted.dunning@gmail.com> wrote:
> They won't. Strang is the answer for the linear algebra part.
>
> On Tue, Mar 8, 2011 at 4:18 PM, Mike Nute <mike.nute@gmail.com> wrote:
>
>> I also recommend the iTunesU course and the notes to this class. I
>> actually printed out a copy of the lecture notes and had them spiral
>> bound. The Hastie/Tibshirani/Freidman book is also excellent. Not
>> sure if those will help as much with the linear algebra though (except
>> the appendix).
>>
>> On Tue, Mar 8, 2011 at 12:35 PM, Vipul Pandey <vipandey@gmail.com> wrote:
>> > For Machine Learning  i would recommend looking at cs229.stanford.edu.
>> It's a very nicely taught course with super helpful lecture notes  and you
>> can get all the videos in youtube or iTunesU.
>> > http://itunes.apple.com/itunesu/machinelearning/id384233048
>> >
>> > The section notes for this course will give you enough review material on
>> linear algebra and probability theory to get you going.
>> >
>> > ~Vipul
>> >
>> >
>> > On Mar 8, 2011, at 8:42 AM, jeremy@lewi.us wrote:
>> >
>> >> Quoting Vasil Vasilev <vavasilev@gmail.com>:
>> >>
>> >>> Hi all,
>> >>>
>> >>> Can someone recommend me good books on Statistics and also on Linear
>> Algebra
>> >>> and Analytic Geometry which will provide enough background for
>> understanding
>> >>> machine learning algorithms?
>> >>>
>> >>> Regards, Vasil
>> >>>
>> >>
>> >> The goto book for linear algebra is "Introduction to Linear Algebra" by
>> Gilbert Strang. His lectures are also available online at.
>> >>
>> >>
>> http://ocw.mit.edu/courses/mathematics/1806linearalgebraspring2010/
>> >>
>> >> You could probably also find a machine learning class lecture online at
>> MIT.
>> >>
>> >> J
>> >>
>> >
>> >
>>
>>
>>
>> 
>> Michael Nute
>> Mike.Nute@gmail.com
>>
>

Lance Norskog
goksron@gmail.com
