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 23Mar 23
Published inTowards Data ScienceEnd 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, 20234May 24, 20234
Published inTowards Data ScienceVisualizing Image SimilaritiesUnpacking the features learned by a deep convolutional neural network (CNN) is a dauting task. Going through each layer to either…Mar 12, 20211Mar 12, 20211
Published inTowards Data ScienceEnsemble 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 inTowards Data ScienceIncreasing 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 inTowards Data ScienceNeural 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, 20191Sep 14, 20191
Published inTowards Data ScienceAdversarial 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
