官术网_书友最值得收藏!

1. Introduction to Clustering

Overview

Finding insights and value in data is the ambitious promise that has been seen in the rise of machine learning. Within machine learning, there are predictive approaches to understanding dense information in deeper ways, as well as approaches to predicting outcomes based on changing inputs. In this chapter, we will learn what supervised learning and unsupervised learning are, and how they are applied to different use cases. Once you have a deeper understanding of where unsupervised learning is useful, we will walk through some foundational techniques that provide value quickly.

By the end of this chapter, you will be able to implement k-means clustering algorithms using built-in Python packages and calculate the silhouette score.

主站蜘蛛池模板: 南汇区| 禄丰县| 凤山县| 项城市| 新化县| 云龙县| 武山县| 商水县| 伊宁县| 双鸭山市| 新余市| 南靖县| 塘沽区| 邯郸市| 六安市| 富锦市| 延安市| 寻甸| 庆安县| 永平县| 白城市| 宝鸡市| 建宁县| 塘沽区| 泽州县| 苍梧县| 维西| 荃湾区| 安乡县| 乌恰县| 湘潭市| 繁昌县| 临沧市| 靖安县| 阜康市| 雷州市| 丁青县| 肇州县| 丹凤县| 中超| 曲阜市|