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tech guide Harvard CS181 Weekly Guides

Harvard CS181 HW0: Do These 4 Problems First — They Tell You What to Patch

HW0 checks CS181 prerequisites in four problems — y=Xw solvability, optimizing an objective, reasoning about randomness, and OLS in Python. The problem that slows you down most is the gap to patch before HW1.

#harvard#cs181#machine-learning#linear-algebra#calculus#probability#linear-regression#python
ai deep-dive Reading CMU 07-280

CMU 07-280 Lecture 7: Linear Regression and the Normal Equation

Lecture 7 applies ERM to linear functions and squared loss, moves from a one-dimensional slope to `argmin ||y-Xθ||²`, and derives the normal equation when `XᵀX` is invertible.

#cmu#ai-course#linear-regression#machine-learning#linear-algebra
learning guide Reading CMU 10-301 Machine Learning

CMU 10-301 HW1: Find ML Foundation Gaps with Mathematics and Python

HW1 is written and programming work: mathematical and CS foundations followed by a majority-vote classifier.

#cmu#machine-learning#python#linear-algebra