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In today’s complex operational environments, problems are inevitable, but their recurrence doesn’t have to be. Whether you’re managing manufacturing processes, academic research projects, service delivery systems, or hospitality operations, the ability to identify and address root causes rather than just symptoms can mean the difference between temporary fixes and lasting solutions.
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I am writing this post to introduce how interesting is the world of ecology. Specifically I want to share my experiences with the “Fresh Water Ecology” course at OSU, which has shown me a completely different perspective of looking at nature. How? lets get into the details.
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Increasing human population across the world has raised demands for food productions. And this is exerting pressure on both agriculture as well as meat industries. The growing food demand has subsequntly increased demands for required input materials, like seeds, fertilizers (including pesticide and weedicides).
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Let me introduce a part of ecological studies which uses various modeling methods used and now prominent/useful in data-driven modeling. This blog is simply to motivate, why data science has become a widely used tool in ecological studies. I will discuss the pros of such modeling techniques and try to set baselines with various terminologies used in the domain.