- F# for Machine Learning Essentials
- Sudipta Mukherjee
- 88字
- 2021-07-16 13:07:01
Different types of linear regression algorithms
Based on the approach used and the number of input parameters, there are several types of linear regression algorithms to determine the real value of the target variable. In this chapter, you will learn how to implement the following algorithms using F#:
- Simple Least Square Linear Regression
- Multiple Linear Regression
- Weighted Linear regression
- Ridge Regression
- Multivariate Multiple Linear Regression
These algorithms will be implemented using a robust industry standard open source .NET mathematics API called Math.NET. Math.NET has an F# friendly wrapper.
推薦閱讀
- Java語(yǔ)言程序設(shè)計(jì)
- C#高級(jí)編程(第10版) C# 6 & .NET Core 1.0 (.NET開(kāi)發(fā)經(jīng)典名著)
- Apache Spark 2.x Machine Learning Cookbook
- MongoDB for Java Developers
- Scratch 3.0少兒編程與邏輯思維訓(xùn)練
- 人人都懂設(shè)計(jì)模式:從生活中領(lǐng)悟設(shè)計(jì)模式(Python實(shí)現(xiàn))
- ASP.NET程序設(shè)計(jì)教程
- Visual FoxPro程序設(shè)計(jì)習(xí)題集及實(shí)驗(yàn)指導(dǎo)(第四版)
- Building Android UIs with Custom Views
- Visual Basic程序設(shè)計(jì)教程
- Unity&VR游戲美術(shù)設(shè)計(jì)實(shí)戰(zhàn)
- Java圖像處理:基于OpenCV與JVM
- JBoss:Developer's Guide
- 大學(xué)計(jì)算機(jī)基礎(chǔ)
- Visual Basic語(yǔ)言程序設(shè)計(jì)基礎(chǔ)(第3版)