"Safe and Pleasant ML": this Friday 4:30-6pm

[Artur Dubrawski]

We will continue into Session 2 today, contents of which include:
* The elusive concept of “perfect data” and getting our real-world data
closer to perfection
* Basic feature selection algorithms
* Feature reduction with Principal Components Analysis (PCA)
  - Additional uses of PCA
  - Related techniques
* Feature reduction with Autoencoders (AE)
* Folding data with Multi-Dimensional Scaling (MDS)
* Unfolding data with “Kernel trick”
* A quick look at preparing textual data for ML

We will probably not be able to cover everything in one seating, so expect
the session to be continued in the next meetings.

Cheers
Artur

On Fri, Jul 15, 2022 at 2:48 PM Artur Dubrawski <awd at cs.cmu.edu> wrote:

> We are continuing today, 4:30pm, NSH 3305 and zoom.
>
> Artur
>
> On Thu, Jul 7, 2022 at 6:32 PM Artur Dubrawski <awd at cs.cmu.edu> wrote:
>
>> We will continue our introduction to safe and pleasant machine
>> learning tomorrow as scheduled.
>> This time, we will talk about bootstrapping, finish the coverage of ROC
>> methodology, and briefly talk about McNemar's tests and classifier
>> calibration.
>>
>> Slides from this and previous meetings are available at
>> https://drive.google.com/drive/folders/1wd2DHkDBIgWzBjwiDFr0FWRVVESfhhEg
>>
>> (I'd like to give Dr. Gisolfi credit for coming up with the apt title of
>> the above directory)
>> (So please let him know if you have any trouble accessing it :P )
>>
>> Cheers,
>> Artur
>>
>>>
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