Read insights on machine learning, data systems, and career advice from Eugene Yan, a Principal Applied Scientist who shares practical guides and resources.
Machine learning insights and practical guides
Eugene Yan's website is a hub for learning about machine learning, data systems, and building scalable AI solutions. If you're interested in recommendation systems, AI-powered products, or the practical side of data science, you'll find clear articles, resources, and personal experiences here.
Eugene shares his thoughts as a Principal Applied Scientist at Amazon, covering both technical topics and career development. You can explore featured talks, favorite reads, and original prototypes, or sign up for email updates to stay in the loop. It's a welcoming resource whether you're just starting out in data/ML or looking to deepen your expertise.
The site is designed for those who want to understand how real-world machine learning systems are built and operated, with plenty of actionable advice and a friendly, approachable tone throughout.
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