auto_awesome Applied AI / LLM 689

What Machine Learning Can Teach Us About Life - 7 Lessons

How to Prevent or Deal with a Data Science Role or Title Mismatch

Applied / Research Scientist, ML Engineer: What’s the Difference?

Chip Huyen on Her Career, Writing, and Machine Learning

Data Discovery Platforms and Their Open Source Solutions

Why I switched from Netlify back to GitHub Pages

Why Have a Data Science Portfolio and What It Shows

How to Install Google Scalable Nearest Neighbors (ScaNN) on Mac

How Prototyping Can Help You to Get Buy-In

Is Writing as Important as Coding?

RecSys 2020: Takeaways and Notable Papers

Appreciating the Present

CareerFair - Day-to-day as an Applied Scientist at Amazon

Routines and Tools to Optimize My Day (Guest Post by Susan Shu)

How to Accomplish More with Less - Useful Tools & Routines

Migrating Site Comments to Utterances

How to Test Machine Learning Code and Systems

Mailbag: Parsing Fields from PDFs—When to Use Machine Learning?

Datacast Podcast - Effective Data Science with Eugene Yan

How Reading Papers Helps You Be a More Effective Data Scientist

Юджин Ян рассказывает, как чтение научных статей делает дата-сайентиста эффективнее. Он приводит пример коллеги, которая, прочитав о подходе LinkedIn (kNN + SVM для очистки меток), помогла команде довести точность классификатора продуктов д

Mailbag: I'm Now a Senior DS—How should I Approach this?

Embrace Beginner's Mind; Avoid The Wrong Way To Be An Expert

NLP for Supervised Learning - A Brief Survey

Unpopular Opinion: Data Scientists Should be More End-to-End