Resources
Section 1: Data Career
Three DS/ML career tracks and skills required [YouTube video]
Section 2: Data Science
Experimentation
The only AB testing intro course you’ll ever need [Udacity course with Google]
Section 3: Machine Learning
Foundation
Machine Learning specialization with Andrew Ng [Coursera]
Build your ML foundation with Andrew Ng [YouTube series]
Deep Learning
Core concepts of deep learning & application to practical problems [Article & video series]
Neural networks and deep learning with Andrew Ng [YouTube series]
Learn PyTorch for deep learning [Article series]
Introduction to PyTorch [Article + video]
ML Ops
Foundation in ML Ops [Google Cloud course]
Section 4: Gen AI
Explains transformers with beautiful illustrations [Article]
Exclusive perks
Practice SQL, Python, data interviews with real questions on dataford.
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