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kate zhuang
kate zhuang

kate zhuang

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From Various Implementations of Collaborative Filtering by Prince Grover

…of research has been done on collaborative filtering (CF), and most popular approaches are based on low-dimensional factor models (model based matrix factorization. I will discuss these in detail). The CF techniques are broadly divided into 2-types:

From Machine Learning 1: Lesson 4 by Hiromi Suenaga

…u do to turn that into a dendrogram which I have to look up on stackoverflow each time I do it. You basically turn it into a distance matrix and then you create something that tells you which things are connected to each other things hierarchically. So these are three standard steps you always have to do to create a dendrogram:

From Machine Learning 1: Lesson 4 by Hiromi Suenaga

lar cor…it at the regular correlation and you will get basically the same answer. The only difference is in how ties are handled which is a pretty minor issue.

Claps from kate zhuang

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Machine Learning for Recommender systems — Part 1 (algorithms, evaluation and cold start)

Pavel Kordík

Reflecting on My Failure to Build a Billion-Dollar Company

Sahil Lavingia

Want Growth? Don’t Look At Your Customer Data

Andrea F Hill