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Opening of AIDAM - 24 June 2020 - Shared screen with speaker view
Alexandra
31:39
will the lecture be available on YouTube for later viewing?
Ivan Tyukin
32:11
Yes, that's the plan
Diego Kuonen
32:25
… And will the slides be made available as well?
Ivan Tyukin
33:03
We will check with David, thanks for asking
Brian
35:14
sorry cant hear
Tennie Videler
35:43
it is very quiet…
Andrea's iPad
36:05
can we please the slide in full screen mode?
Brian
37:35
now volume please
Fernando Schlindwein
38:40
Have we lost sound?
Brian
40:04
that's good
Michaela
40:31
Much better, thank you!
Tennie Videler
40:33
yes good!
Michaela
42:03
What I'm seeing is fine!
Fernando Schlindwein
01:13:15
What kills Americans is that they speak English!
Nicola Bateman
01:40:35
I would like to hear more about a dark data category. Data that is gathered but nobody looks at. I have some examples of this and the problems associated with it
Therese Graversen
01:44:59
I have a question, though also two toddlers playing on the floor, so I will write it here instead like Nicola:The age of Data Science seems to re-brand well-known statistical concepts under new names -- is "Dark Data" essentially the same as "Missing Data", or does it somehow describe a broader category of "missingness"?
Mahmoud
01:47:01
What strategy can we follow when data becomes dark after having built a Machine Leanring models.
Mahmoud
01:48:12
This means that test data start to have missiness that we didn't experience when we trained the machine leaning classifier initially.
Mahmoud
01:52:45
thank you
Uraz
01:58:03
Many David!
Uraz
01:58:21
Many Thanks I meant :)
Therese Graversen
01:58:21
Thanks, David, very interesting.
MD. ABUD DARDA
01:58:30
Tha nk You all