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Deconstructing Deep Learning + δeviations

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100PageMlblook

Notes from 100 Page ML Book

I decided to add notes to this blog too. All such notes will be tagged with "book" for easier search. This one is my notes while reading "Andriy Burkov : The Hundred-Page Machine Learning Book". Amazon. Do support the author if you can.

A quick note on how I make notes. I first annotate the pdf of the book. And then type down the text to make it searchable. Yes I probably could use OCR but this helps me remember more. Also, this is not meant to be comprehensive reviews but only what I find interesting from the book. I read a lot about Deep Learning so these will keep popping up.

Okay now let us get to it :)

Initial thoughts from the content

Notes

SVM

Random variable

Unbiased estimator

Shallow learning

Cost func

Decision tree

GD

Techniques

Data imputation

Regularization

Hyper param

RNN

Seq2seq

Ensemble

Other learnings

Semi supervised

Zero shot

Combine models

Other stuff