Yalda Shankar – Medium

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A Discourse on Reinforcement Learning

Part I — AN EXPANSIVE SETTING — The narrative presents an expansive setting, with multiple paradigms, related around the theme of Reinforcement Learning (RL). We believe that such a setting may help the reader to perceive a broader view of RL, realizing its underlying assumptions, and foreseeing unexplored links for further research. This is the first of…

Reinforcement Learning

9 min read

Reinforcement Learning

9 min read

Published in

Towards Data Science

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Homography Estimation

This short piece describes equations for estimating a 3 × 3 homography matrix. We first discuss the computation from intrinsic and extrinsic camera parameters; and wherever necessary, connect the formulation to the real-world camera specifications. …

Computer Vision

7 min read

Computer Vision

7 min read

Published in

Towards AI

·Mar 18

Precision & Recall — An Illustrative

Precision and Recall are two evaluation metrics, used to measure the performance of a classification algorithm (that outputs discrete labels) in machine learning / information retrieval. …

4 min read

4 min read

Apr 16, 2022

How long should your dog leash be?

João Paulo Figueira

Very good Intuition of the Frechet distance !!

1 min read