Paweł’s Kindle Notes & Highlights

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking, by Foster Provost

If the data are not linearly separable, the best fit is some balance between a fat margin and a low total error penalty.

Paweł Cisło

Not linearly separable data

See Paweł’s 156 notes & 175 highlights

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

by Foster Provost

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