Women need to get in to data science
and AI/ML is because when you are trying to
build these ML algorithms, having just a singular
point of view, like having just male point
of view will sort of introduce an inherent
bias in those algorithms.
So, today we have Shweta, she is a data scientist
at Youplus and we will talking about her journey
into the field of data science and AI/ML also,
sharing her advice to the aspiring data scientists.
So,Shweta, having been in the industry for
quite some time now, do you feel that more
and more women should get into the field of
data science or machine learning?
Why I think women need to get in to data science
and AI/ML is because when you are trying to
build these ML algorithms, having just a singular
point of view, like having just male point
of view will sort of introduce an inherent
bias in those algorithms.
For example, when you are trying to process
language, a lot of people would attribute
an engineer to be a guys and a doctor to be
a female, teacher to be a female but you need
to sort of you know get out of that bias.
So having more women in your workforce will
sort of reduce that bias and diversity will
help your teams to progress and have different
and alternative point of views when you are
trying to sort problems.
For example, at my job I was analysing e-commerce
data which belong to a personal care website.
Now most of the users of that particular website
are females.
So if you have only males in your team, you
would probably not have as good points or
as good insights about a product should be
used, what you expect from a product and that
kind of knowledge is actually important when
you are building models.
And in the same way if you are having, you
are focusing on a male dominant industry,
you need some male perspective as well.
So we need to normalise that and that is why
I feel l like diversity within data science
is very important.
