Nikita SharmainHeartbeatExploring Sign Language Recognition techniques with Machine LearningUnderstanding Indian Sign Language recognition and its Techniques with a Focus on the State-of-the-Art hierarchical neural network approach9 min read·Jan 14, 2021--1--1
Nikita SharmainHeartbeatIntroduction to Graph Neural NetworksGraph neural networks — their need, real-world applications, and basic architecture with the NetworkX library9 min read·Oct 28, 2020----
Nikita SharmainHeartbeatSemantic Image Inpainting with Context EncodersUnderstanding Image Inpainting and its Techniques9 min read·Oct 20, 2020--1--1
Nikita SharmainHeartbeatExploring Optimizers in Machine LearningA guide to the widely used Optimizer functions, and a breakdown of their benefits and limitations8 min read·Sep 29, 2020----
Nikita SharmainHeartbeatImage Super-Resolution Using Generative Adversarial NetworksExploring image super-resolution techniques with focus on the state-of-the-art GAN-based approach8 min read·Sep 9, 2020----
Nikita SharmainHeartbeatExploring Activation and Loss Functions in Machine LearningA guide to the most frequently used activation and loss functions, and a breakdown of their benefits and limitations8 min read·Aug 11, 2020----
Nikita SharmainHeartbeatA Guide to Ensemble LearningEnsemble learning: Need, benefits and detailed coverage of bagging, boosting, and stacking9 min read·Jun 15, 2020----
Nikita SharmainHeartbeatUnderstanding the Mathematics behind Linear Regression Part IIExploring linear regression: Mathematical foundations and benefits and limitations8 min read·May 29, 2020--2--2
Nikita SharmainHeartbeatSpam Filtering using Bag-of-WordsGuide to building your own spam filter in Python9 min read·May 12, 2020----
Nikita SharmainHeartbeatUnderstanding the Mathematics Behind Linear Regression (Part 1)Exploring regression and feature engineering on the facebook-comment-prediction dataset9 min read·May 6, 2020--1--1