Hello Noah Thanks for your inputs. You are right, ML folks need to learn more deep than DS especially when it comes to data pipeline, Machine Learning model Deployment, and maintenance. On Sat, 24 Jul 2021 at 17:24, Noah . <noah@pycon.or.tz> wrote:
On Sat, 24 Jul 2021, 16:06 Davis David, <davisdavid179@gmail.com> wrote:
Hi All,
Hi Davis
I hope you are enjoying your weekend.
Indeed and I see you are enjoying yours by writting :-)
if you plan to become a Data Scientist
So this made me think of a conversation I recently had with a student who is joining Uni and was seeking some advice as she embarks on her CS degree journey....
Her question was where to focus between DS ....
or Machine Learning Engineer,
And ML. I basically told her that both are different even though some people think its the same thing...
reading Machine Learning books will help you gain the knowledge & skills
required in this field.
And to your advice above I shall add that, botj DS or ML enthusiasts must all read about ML extensively.
DS folks may not necessarily have to be deep into ML but ML folks ought to be deep if they are to help DS people.
In my article, I have compiled a list of recommended books for Beginners.
link: https://hackernoon.com/5-best-machine-learning-books-for-ml-beginners-o23g37...
Thanks for sharing with the community and perhaps we can have a talk about this differences between DS and ML sometime in the next community meetup via webinars or physical meetups.
Cheers, Davis David Pythonista
Cheers Noah
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