Crafting the Next Generation ML Engineering AssessmentHiring for machine learning engineers is no easy task. A quick look at job postings on LinkedIn reveals that in today’s job market…Mar 23, 2024Mar 23, 2024
Published inTDS ArchiveEnd to End ML with GPT-3.5Learn how to use GPT-3.5 to do the heavy lifting for data acquisition, preprocessing, model training, and deploymentMay 24, 2023A response icon4May 24, 2023A response icon4
Published inTDS ArchiveVisualizing Image SimilaritiesUnpacking the features learned by a deep convolutional neural network (CNN) is a dauting task. Going through each layer to either…Mar 12, 2021A response icon1Mar 12, 2021A response icon1
Published inTDS ArchiveEnsemble Robustness to Adversarial ExamplesLast summer I had the pleasure of working with a talented undergraduate researcher named Romain Speciel on a project that looked at how to…May 13, 2020May 13, 2020
Published inTDS ArchiveIncreasing Interpretability to Improve Model RobustnessA recent attempt to improve the robustness of convolutional neural networks (CNNs) on image classification tasks has revealed an…Apr 25, 2020Apr 25, 2020
Published inTDS ArchiveNeural Architecture Search — Limitations and ExtensionsFor the past couple of years, researchers and companies have been trying to make deep learning more accessible to non-experts by providing…Sep 14, 2019A response icon1Sep 14, 2019A response icon1
Published inTDS ArchiveAdversarial Examples — Rethinking the DefinitionAdversarial examples are a large obstacle for a variety of machine learning systems to overcome. Their existence shows the tendency of…Sep 8, 2019Sep 8, 2019
