
05:11:21
My audio takes a bit to kick in with large groups

05:15:27
...Comcast...

05:20:54
I’m monitoring the chase for questions. Please feel free ask them here

05:22:23
The chat*

05:33:17
Where would you place yourself in that graphic with the 5 leaves?

05:36:31
How many of the broad categories within data science should you be familiar (be able to do with some competency) with to start?

05:37:58
I meant more specifically to the next slide's areas

05:40:06
I would like to know how to identify whether I have enough skills and experience to be hired in data analytics. I was asked for phone interview and take-home assignment few times but still not sure which area that I need to develop more.

05:40:24
Thank you.

05:41:38
Is that okay? I hope we have time for general discussion at the end

05:49:30
So, what action did they take after all this analysis?

05:59:42
The Air Force owned some decoded info. Could this info have been used to train a neural network?

06:14:01
Could an AI pilot use your model to generate instructions to do a maneuver?

06:15:28
@Ben Thornberry. arguably, this has been achieved: https://www.airforcemag.com/artificial-intelligence-easily-beats-human-fighter-pilot-in-darpa-trial/

06:15:39
in a simulated dogfight

06:15:59
IDK about using this specific model though

06:16:54
"The artificial intelligence algorithm, developed by Heron Systems, swept a human F-16 pilot in a simulated dogfight 5-0 in the Defense Advanced Research Projects Agency’s AlphaDogfight Trials on Aug. 20."

06:32:13
If you are hiring, what would you look for in a resume?

06:35:33
I would like to know how to identify whether I have enough skills and experience to be hired in data analytics. I was asked for phone interview and take-home assignment few times but still not sure which area that I need to develop more.

06:39:34
How intellectually challenging are the data science projects in the industry compared to research projects in academic physics? Just to know if the work could get mundane in the long term.

06:45:11
Thank you!

06:45:15
Thank you!

06:45:21
Thank you

06:45:22
Thank you

06:45:26
thanks !

06:45:44
Thank you!