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Blog
Technical articles and insights on AI, Data Science, and Machine Learning.
Why aren’t there more women in data science?
In this article, I write about the lack of female representation in technology. In my opinion,
girls aren’t naturally less inclined to pursue careers in STEM. Rather, they have been
conditioned from a young age to stay away from the field.
I provide insight on the measures that we as a community can take to ensure that more women
develop an interest in tech-related fields.
Publication: Towards Data Science
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How to change the world with data science?
Most applications of data science today revolve around maximizing profit for large companies.
However, data science can be used for so much more than just increasing revenue.
In this article, I explain the different ways data can be used for social good.
Publication: Towards Data Science
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How to lie with data?
Data can be used to lie. Statistics can be used to exaggerate, blow incidents out of proportion,
and push political agendas.
In the world we live in today, the consequences of misusing statistics can be disastrous.
Misinformation can spread like wildfire on the Internet, with claims that they are backed up by
scientific proof.
In this article, I explain the different ways statistics can be misused. I provide case studies
on how data has been used to mislead people in the past.
The aim of this article is to inform readers about the dangers of believing a statistic without
doing proper research.
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Finding it difficult to learn programming? Here’s why.
In the first coding class I took in my life, my lecturer told me that “some people just weren’t
cut out for programming.” I believed her and stopped trying to learn how to code.
I thought that there were two types of people in the world – those who were cut out for
programming (the geniuses), and those who weren’t.
It was only after spending around 8 hours a day programming for a few months that I realized my
lecturer was wrong. I also realized that there were a lot of people just like me, who gave up on
learning to code simply because they thought they weren’t cut out for it. I wrote this article
to clear any misconceptions people might have about learning how to code. The best programmers I
know aren’t geniuses or straight A students. They possess a set of traits that can be built
along the way, which I highlight in this article.
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