Introduction
The last month and a half at Plio have been spent on (apart from all the cool stuff that usually happens here, of course 🙂) understanding the level and behaviour of learning of the students who engage with our platform. The idea was to utilise the engagement data being generated from our product platform and use it to visualise the impact it has had on how students learn. And what we learnt doesn’t disappoint.
Learnings from a site visit to the under-construction flyover and underpass at the Atul Kataria Chowk, Gurugram, Haryana, India.
Introduction
Metric Learning = Metric + Learning
We’re sufficiently familiar with both these words. Metric stands for a measure of quantitative assessment, such as a meter for length, and learning refers to the process of acquiring knowledge through study or experience. Interpreting the combination of both these words in the context of Machine Learning, we can define metric learning as the process of learning to define the most appropriate measure of similarity(or differences) over objects under consideration.
Mathematically, we can define a metric as follows:
A metric on a set X is a function (called the distance function or simply distance).
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Hello everyone.
This blog streak is meant to document my work experience and takeaways while participating in the capacity of a summer intern at IIIT-Delhi, under the guidance of Prof. Tavpritesh Sethi and Prof. Ponnurangam Kumaraguru, and working in a team of students from various institutions, including AIIMS and CSIR-IGIB, Delhi. Over the period of my internship, I plan to post several such blogs covering the work that we do.
Background
The world has slowed down ever since the Corona pandemic has begun and it is costing us lives, whether directly or indirectly. All across the globe, leaders of States are…
Keerat Kaur Guliani
Research in Applied AI | Machine Intelligence & Deep Learning Enthusiast | Civil Engineering Undergrad @IIT_Roorkee
