[BangPypers] Making Data Science Work - A Webinar on S/W Engineering in ML - Tonight, 17th of June at 7 PM

[Propadovic Nenad]

Hello,
will there be a video of this webinar?
I can not attend, as I work, but I'd like to see it as video, if possible.
Cheers,
Nenad

Am Mi., 17. Juni 2020 um 11:45 Uhr schrieb Abhiram R <
abhi.darkness at gmail.com>:

> Hello,
> This is a PSA -
> There's an upcoming Webinar tonight, the 17th of June, on the principles of
> Software Engineering in Machine Learning conducted by Hasgeek from 7 PM -
> 8.10 PM. In this, Venkata Pingali <https://www.linkedin.com/in/pingali/>
> and Indrayudh Ghoshal <https://www.linkedin.com/in/indrayudhghoshal/>
> from Scribble
> Data <https://www.scribbledata.io/> discuss with  Dmitry Pretrov
> <https://www.linkedin.com/in/dmitryleopetrov/> and Ivan Shcheklein
> <https://www.linkedin.com/in/shcheklein/>, co-founders of iterative.ai, on
> the following pertinent points -
>
> 1. Do software engineering principles apply to Machine Learning development
> and deployment?
> 2. How is an ML system different from traditional application?
> 3. How important is data versioning?
> 4. What are the next logical steps in the development of the data science
> engineering tool chains?
> 5. How will the data ecosystem evolve over the next few years?
>
> These are interesting times and the topics in question are extremely
> important for anyone who's interested in the fields. As an alumnus of
> Scribble Data, I've had a chance to witness first-hand the complexities
> data - structured or unstructured - can pose and the way disciplined
> engineering can make a difference in the workflow of an ML system.
>
> RSVP here to check it out and attend the webinar :) -
> https://hasgeek.com/fifthelephant/making-data-science-work-session-3/
>
>
> Regards
> Abhiram R <https://abhiramr.com>
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