Mike Wu
PhD Scholar at Stanford
Mike Wu's LinkedIn Profile

Mike Wu is currently a fifth year PhD student at Stanford University advised by Noah Goodman. His research spans the fields of inference algorithms, deep generative models, and unsupervised learning. Mike’s research has appeared in NeurIPS, ICLR, AISTATS, and other top ML conferences with two best paper awards and his work has been featured in the New York Times. Mike previously worked as a software engineer at an AI startup called Lattice Data, and as a research engineer at Meta’s applied machine learning group. Mike and Andrew designed and taught a new version of Stanford’s CS224S: Spoken Language Processing in 2022.

Courses
Data Centric Deep Learning
Created and Taught By
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Andrew Maas
Senior Manager at Apple and Instructor at Stanford University
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Instructor Photo
Mike Wu
PhD Scholar at Stanford
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Testimonials

I believe this course should be required in any data-science curriculum. We gained practical skills to tackle with problems that data scientists and machine learning engineers often face when dealing with real-world messy data.

Mateo IbarguenData Scientist at HealthCare.com

DCDL has taken my experience with ML from modeling datasets in Colab notebooks to working in a full ML system in a codebase. We touched upon the full lifecycle of ML — from annotating and cleaning data, to model training, to evaluation and testing, deployment, and monitoring. What an incredibly insightful 4 weeks of learning!

Max AllenRisk Engineering @ Ramp

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