PinnedAmy MainTowards Data ScienceCourage to Learn ML: Tackling Vanishing and Exploding Gradients (Part 2)A Comprehensive Survey on Activation Functions, Weights Initialization, Batch Normalization, and Their Applications in PyTorchMay 3May 3
PinnedAmy MainHuman PartsAn Unfiltered Review of My Parenting So FarAnd it’s been good.Feb 2912Feb 2912
PinnedAmy MainTowards Data ScienceCourage to Learn ML: A Detailed Exploration of Gradient Descent and Popular OptimizersAre You Truly Mastering Gradient Descent? Use This Post as Your Ultimate CheckpointJan 96Jan 96
Amy MainTowards Data ScienceMy learning to being hired again after a year… Part IFor anyone job hunting, not just tech folksJun 235Jun 235
Amy MainTowards Data ScienceCourage to Learn ML: Tackling Vanishing and Exploding Gradients (Part 1)Melting Away DNN’s Gradient Challenges: A Scoop of Solutions and InsightsFeb 51Feb 51
Amy MainTowards Data ScienceCourage to Learn ML: Explain Backpropagation from Mathematical Theory to Coding PracticeTransforming Backpropagation’s Complex Math into Manageable and Easy-to-Learn BitesJan 171Jan 171
Amy MainTowards Data ScienceCourage to Learn ML: An In-Depth Guide to the Most Common Loss FunctionsMSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss FunctionsDec 28, 2023Dec 28, 2023
Amy MaRelax Your Butt and Be Gentle with YourselfMy Personal Tale and a Heartfelt Message to the Recently Laid OffDec 18, 2023Dec 18, 2023
Amy MainTowards Data ScienceCourage to Learn ML: A Deeper Dive into F1, Recall, Precision, and ROC CurvesF1 Score: Your Key Metric for Imbalanced Data — But Do You Really Know Why?Dec 17, 20231Dec 17, 20231
Amy MainTowards Data ScienceCourage to Learn ML: Demystifying L1 & L2 Regularization (part 4)Explore L1 & L2 Regularization as Bayesian PriorsDec 11, 2023Dec 11, 2023