Real conversations. Worthwhile reads.中文

Algorithms from the Book

Explore Algorithms from the Book by Kenneth Lange: 7 Hacker News mentions from 7 participants in 2007-02-22–2026-11-01. Read original excerpts, compare opinions and save this book.

THE HACKERBOOKS LIBRARY
Algorithms from the Book
Kenneth Lange
Programming

Algorithms from the Book

7 mentions · 7 participants · 1 recommenders

Book edition

From the conversation

Latest 7 source records

A mention is not an endorsement. Labels are automatically classified by the source. Follow the original discussion to verify the context.

Wwaldrews
Recommendation · source label

This record preserves its author, date and source link. Open HN to read the full context.

Read on Hacker News
Ccaslon
Mention

This record preserves its author, date and source link. Open HN to read the full context.

Read on Hacker News
Mmadiyar
Mention

This record preserves its author, date and source link. Open HN to read the full context.

Read on Hacker News
GGauntletWizard
Mention

This record preserves its author, date and source link. Open HN to read the full context.

Read on Hacker News
Rraganwald
Mention

This record preserves its author, date and source link. Open HN to read the full context.

Read on Hacker News
LLocke1689
Mention

This record preserves its author, date and source link. Open HN to read the full context.

Read on Hacker News
Hhashbucket
Mention

This is a personalized news site that I wrote in two months based on algorithms from the book Programming Collective Intelligence. Please tell me what you think. It has two main features: the ability to identify related /similar links and suggestions/recommendations that actually work. The basis for all of the algorithms is a document similarity metric presented in Chapter 3: Discovering Groups. Basically, to compare document A with document B, we calculate the Pearson correlation coefficient between the word frequencies of document A and the word counts of document B. (You can imagine this as plotting a series of points of a graph: each point's x coordinate is its frequency in document A and each point's Y coordinate is its frequency in document B. The Pearson correlation coefficient is a measure of how well the line-of-best-fit fits the…

Read on Hacker News