PinnedInTDS ArchivebyAmy Ma·May 3, 2024Courage to Learn ML: Tackling Vanishing and Exploding Gradients (Part 2)A Comprehensive Survey on Activation Functions, Weights Initialization, Batch Normalization, and Their Applications in PyTorch
PinnedInHuman PartsbyAmy Ma·Feb 29, 2024An Unfiltered Review of My Parenting So FarAnd it’s been good.A response icon12A response icon12
PinnedInTDS ArchivebyAmy Ma·Jan 9, 2024Courage to Learn ML: A Detailed Exploration of Gradient Descent and Popular OptimizersAre You Truly Mastering Gradient Descent? Use This Post as Your Ultimate CheckpointA response icon6A response icon6
Amy Ma·Jun 5Gen AI Myths Busted: A Quick Guide for EngineersA super simple and quick guide to how generative AI works, the myths around it, and why it won’t replace engineers anytime soon.
Amy Ma·Apr 3Feedback Loops, Bias, and a Very Hungry Horror NovelA Book Review (Yes, Really), A Dispatch from 44% In, and Mildly Unwell About It
InData Science CollectivebyAmy Ma·Sep 8, 2025What I Learned About AI by Forcing It to Write a NovelWhy LLMs struggle with storytelling and how I accidentally found ‘impressions’A response icon2A response icon2
InAI AdvancesbyAmy Ma·Jun 27, 2025A Small Reflection on How We Work (and How Agents Might Do It Better)Reverse-prompting as a working humanA response icon2A response icon2
InData Science CollectivebyAmy Ma·May 18, 2025My learning to being hired again after a year… Part 2One Year Later: What I Learned Still MattersA response icon5A response icon5
InHuman PartsbyAmy Ma·May 7, 2025Being My Kid’s Second-Favorite MomAnd Why That’s the Best Thing That Ever Happened to Me
Amy Ma·Mar 17, 2025Keep Learning Like the AI Models DoAfter being a TA at OMSCS for nearly four years, this is what I wish every ML learner could hearA response icon1A response icon1