Learning

What I'm reading and studying, with progress.

Book · Reading

Deep Learning

Goodfellow, Bengio & Courville

87 of 800

  • Ch. 2 Linear Algebra: eigendecomposition and SVD as lenses on data transformations.
  • Ch. 3 Probability: why ML prefers distributions over hard rules; information theory basics.
  • Ch. 4 Numerical Computation: overflow/underflow, conditioning, gradient-based optimization.
Certificate · Reading

Google AI Professional Certificate

Coursera

  • Courses 1-4 completed; course 5 (AI for Content Creation) in progress.