Paweł’s Kindle Notes & Highlights

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

edit distance or the Levenshtein metric. This metric counts the minimum number of edit operations required to convert one string into the other,

Paweł Cisło

Edit distance/Levenshtein metric

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

Rate this book

Clear rating

1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars