[ml] Stanford ML course /was: ML Monday ...

[Glenn Wright]

I'm down for that.

On Tue, Oct 4, 2011 at 9:52 PM, Mike Schachter <mike at mindmech.com> wrote:

> I'm down, unless anyone's got anything else they
> want to present on Monday night let's go over the
> questions!
>
>  mike
>
>
> On Tue, Oct 4, 2011 at 9:24 PM, Wladyslaw Zbikowski
> <embeddedlinuxguy at gmail.com> wrote:
> > On Thu, Sep 29, 2011 at 5:30 PM, Wladyslaw Zbikowski
> > <embeddedlinuxguy at gmail.com> wrote:
> >> By the way I notice that ml-class.org now has its first video lectures
> >> online.
> >
> > Would anyone be interested to review some of these Review Questions on
> > Monday the 10th?
> >
> > http://www.ml-class.org/course/quiz/list?type=quiz
> >
> > First two weeks of videos from the site:
> >
> > I. INTRODUCTION
> > Welcome (7 min)
> > What is Machine Learning? (7 min)
> > Supervised Learning (12 min)
> > Unsupervised Learning (14 min)
> > II. LINEAR REGRESSION WITH ONE VARIABLE
> > Model Representation (8 min)
> > Cost Function (8 min)
> > Cost Function - Intuition I (11 min)
> > Cost Function - Intuition II (9 min)
> > Gradient Descent (11 min)
> > Gradient Descent Intuition (12 min)
> > Gradient Descent For Linear Regression (10 min)
> > What's Next (6 min)
> > III. LINEAR ALGEBRA REVIEW (OPTIONAL)
> > Matrices and Vectors (9 min)
> > Addition and Scalar Multiplication (7 min)
> > Matrix Vector Multiplication (14 min)
> > Matrix Matrix Multiplication (11 min)
> > Matrix Multiplication Properties (9 min)
> > Inverse and Transpose (11 min)
> >
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>



-- 
-Glenn
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