Data Science for Science

Courtesy: University of Tennessee Knoxville Hey Folks, We have an intriguing application of Machine Learning (ML) today: Knots and Symmetries in Mathematics! ML, as you're probably aware, works when we have a whole lot of data. In fact, the more data we have, the more likely we are to use ML or its more sophisticated brethren Deep Learning (DL). So without further ado, let's dive in! What are knots and symmetries in mathematics? A knot in mathematics is, as you would expect, inspired from real-life knots but isn't so exactly. Simply put a knot is a 2-D closed loop that exists in 3-D space. This concept could of course be extended to n-dimensional loops in m-dimensional space. Knots can be described mathematically in various ways. Sometimes two seemingly different descriptions are actually of the same knot. This can be determined by comparing properties of knots known as invariants . One of the questions surrounding invariants is: Are two invariants related? To answer this

 Hello Fellow Internet User! How has your day been? If you're like me, you're thinking "Um...good or bad or something in between. It is still a great time to be alive!" Welcome to this blog!  Data Science is everywhere! Because data is everywhere! Data Science is fascinating as it is our very human yearning to know  what all of this data tells us . If not out of curiosity then to find out how those stories can help us in various endeavours. Science and Engineering can also benefit from Data Science, maybe even recursively ;-) This blog is meant to bring together a curated set of advancements on how Data Science has been used to further science and engineering endeavours. Apart from drawing your attention to the substance of these advancements, I shall add my own commentary. Should be a fun ride! Hope you enjoy it! Joie de vivre pour toi! Rahul PS: I am open to comments and suggestions. Please let me know what you think of this blog, its posts or anything else of relev