官术网_书友最值得收藏!

Supervised learning algorithms

Supervised learning algorithms can be used to solve both classification and regression problems. In this book, you will learn how to implement some of the most popular supervised machine learning algorithms. Popular supervised machine learning algorithms are the ones that are widely used in industry and research, and have helped us solve a wide range of problems across a wide range of domains. These supervised learning algorithms are as follows:

  • Linear regression: This supervised learning algorithm is used to predict continuous numeric outcomes such as house prices, stock prices, and temperature, to name a few
  • Logistic regression: The logistic learning algorithm is a popular classification algorithm that is especially used in the credit industry in order to predict loan defaults
  • k-Nearest Neighbors: The k-NN algorithm is a classification algorithm that is used to classify data into two or more categories, and is widely used to classify houses into expensive and affordable categories based on price, area, bedrooms, and a whole range of other features
  • Support vector machines: The SVM algorithm is a popular classification algorithm that is used in image and face detection, along with applications such as handwriting recognition
  • Tree-Based algorithms: Tree-based algorithms such as decision trees, Random Forests, and Boosted trees are used to solve both classification and regression problems
  • Naive Bayes: The Naive Bayes classifier is a machine learning algorithm that uses the mathematical model of probability to solve classification problems
主站蜘蛛池模板: 长宁区| 肇庆市| 阿克苏市| 平原县| 富阳市| 长沙县| 靖宇县| 霍州市| 大英县| 上饶县| 同德县| 霞浦县| 黄龙县| 唐海县| 乐昌市| 蒙城县| 东莞市| 西贡区| 论坛| 广德县| 临桂县| 井研县| 雅江县| 峨边| 公主岭市| 玉山县| 铜山县| 乐安县| 古浪县| 丰宁| 民丰县| 永宁县| 通许县| 龙胜| 桃园市| 宜州市| 牡丹江市| 鱼台县| 新乡市| 千阳县| 如东县|