✍️ Leisure Readings
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This post accounts the non-academic books that I love reading during my free time. I mostly like reading non-fiction books with doses of fiction occassionally. Below are the books I have read over the years.
Published:
This post accounts the non-academic books that I love reading during my free time. I mostly like reading non-fiction books with doses of fiction occassionally. Below are the books I have read over the years.
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In the world of academia, accomplished researchers often appear as paragons of success, their profiles adorned with accolades and achievements. However, behind the facade of triumph, a less celebrated narrative exists—a story of relentless struggle and failure that is seldom shared. As a fellow young researcher, I’ve keenly experienced the weight of this unspoken reality, often feeling isolated in my struggles. The purpose of this blog is to remind myself of my failures and also to make upcoming young researchers aware about the struggle. And Yes!! The struggle is real (atleast for me).
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Over the past century, the field of artificial intelligence (AI) has experienced remarkable progress, primarily driven by the aspiration to enable machines to learn in a manner akin to humans. This pursuit has been rooted in a fundamental question: “how” can machines be effectively trained to perform specific tasks? It seems like the answer is the optimization of some specific loss functions, typically relying on carefully curated datasets.