If you'd like to get updates on how my progress goes, feel free to subscribe here or follow me on twitter! In 2020 and beyond, I plan to dive more deeply into independent research projects in Machine Learning and Theoretical Neuroscience. It has been on m... (more…)
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Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc - huytran... (more…)
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The authors, a Machine Learning practitioner and a professional Statistician who've long worked together, unpack the role of each field within data science. (more…)
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Syllabus – What you will learn from this course 1.Introduction 2.Linear Regression with One Variable 3.Linear Algebra Review 4.Linear Regression with Multiple Variables 5.Octave/Matlab Tutorial 6.Logistic Regression 7.Regularization 8.Neural Networks: Rep... (more…)
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A few weeks ago, a friend and colleague (Alex G.) asked me this question. He was aware of recent breakthroughs in the world of Machine… (more…)
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