[ml] Machine Learning Lecture Wed 5/5: A Brief Tour of Statistics
Thomas Lotze
thomas.lotze at gmail.com
Thu May 6 07:11:15 UTC 2010
I've put up my slides and (very sparsely commented) R code on the wiki:
https://www.noisebridge.net/wiki/Machine_Learning_Meetup_Notes:_2010-05-05
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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