[ml] Machine Learning Lecture Wed 5/5: A Brief Tour of Statistics

Thomas Lotze thomas.lotze at gmail.com
Thu May 6 00:11:15 PDT 2010

I've put up my slides and (very sparsely commented) R code on the wiki:

On Wed, Apr 28, 2010 at 9:28 PM, Thomas Lotze <thomas.lotze at gmail.com>wrote:

> Hey all!  Next week, I'm going to try to give a brief tour of statistics:
> how to think like a statistician, what statisticians are trying to do, and
> some big statistical ideas relevant to machine learning.  I'm hoping to give
> people a good understanding of statistical thinking, and hopefully spawn
> some ideas on future talks.  We'll meet at 8 PM in the same place we've been
> meeting (the classroom in the back corner)
> I'm planning on starting fairly promptly (8:05) regardless of how many
> people are here, because there's a lot I'm hoping to talk about -- so please
> arrive as close to 8 PM as possible!
> The topics I'm planning on covering are:
>    - Basic statistics and probability: random numbers and distributions
>    - Some good distributions to know: binomial, poisson, normal
>    - Estimating distribution parameters
>    - Unbiased estimators and the bias/variance tradeoff
>    - Confidence intervals, Testing and p-values
>    - Maximum Likelihood Estimators
>    - Another look at Regression
>    - Logistic Regression
>    - Why statisticians love the normal distribution
>    - Why Taleb Naseem hates the normal distribution
>    - Bootstrapping techniques
>    - A statistical perspective on Induction
>    - What Bayesian Statistics is basically about
> But if you have anything else you're interested in, let me know!
> Cheers,
> Thomas
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