PinnedLavanya GuptainThe StartupDifferences Between Word2Vec and BERTWith so many advances taking place in Natural Language Processing (NLP), it can sometimes become overwhelming to clearly understand the…3 min read·Nov 12, 2020--3--3

PinnedLavanya GuptainAnalytics VidhyaInterpreting Logistic Regression Coefficients the Right WayLearn to correctly interpret the coefficients of Logistic Regression and in the process naturally derive its cost function — the Log…3 min read·Mar 2, 2021----

Lavanya GuptainAnalytics VidhyaBatch Normalization and ReLU for solving Vanishing GradientsA logical and sequential roadmap to understanding the advanced concepts in training deep neural networks.7 min read·Apr 26, 2021--2--2

Lavanya GuptainAnalytics VidhyaWhy Gradient Descent doesn’t converge with unscaled features?Ever felt curious about this well-known axiom? “Always scale your features” Well, read on to get a quick graphical and intuitive…3 min read·Mar 1, 2021----

Lavanya GuptaDo you mean the cell that contains the "center" of an object?1 min read·Feb 26, 2021----

Lavanya GuptainAnalytics VidhyaPrecision-Recall Tradeoff for Real-World Use CasesAce your ML interview by quickly understanding which real-world use cases demand higher precision, and which ones demand a higher recall…5 min read·Feb 19, 2021--2--2

Lavanya GuptainThe StartupFocal Loss — What, Why, and How?Focal Loss explained in simple words to understand what is it, why is it required and how is it useful — in both an intuitive and…9 min read·Jan 28, 2021--2--2

Lavanya GuptainWiCDSBasics of Image ProcessingEmpower your deep learning models by harnessing some immensely powerful image processing algorithms.7 min read·Jan 1, 2021----

Lavanya GuptainAnalytics VidhyaComparison of Hyperparameter Tuning algorithms: Grid search, Random search, Bayesian optimizationIn the model training phase, a model learns its parameters. But there are also some secret knobs, called hyperparameters, that the model…5 min read·Nov 21, 2020--2--2