Alex Adam·Mar 23, 2024Crafting 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…
InTDS ArchivebyAlex Adam·May 24, 2023End 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 deploymentA response icon4A response icon4
InTDS ArchivebyAlex Adam·Mar 12, 2021Visualizing Image SimilaritiesUnpacking the features learned by a deep convolutional neural network (CNN) is a dauting task. Going through each layer to either…A response icon1A response icon1
InTDS ArchivebyAlex Adam·May 13, 2020Ensemble 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…
InTDS ArchivebyAlex Adam·Apr 25, 2020Increasing Interpretability to Improve Model RobustnessA recent attempt to improve the robustness of convolutional neural networks (CNNs) on image classification tasks has revealed an…
InTDS ArchivebyAlex Adam·Sep 14, 2019Neural 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…A response icon1A response icon1
InTDS ArchivebyAlex Adam·Sep 8, 2019Adversarial Examples — Rethinking the DefinitionAdversarial examples are a large obstacle for a variety of machine learning systems to overcome. Their existence shows the tendency of…
