SVM recommended reading literature and blog, SVM reading literature blog

SVM recommended reading literature and blog, SVM reading literature blog

SVM is a classic classification algorithm. There are many wonderful blog posts and books on the Internet. Today I will summarize these materials and thank you for sharing them!

[1] The author of JerryLead's blog gave a smooth and popular derivation based on Stanford's handouts: SVM series.

[2] Jia shiber's SVM getting-started series is very good.

[3] pluskid Support Vector Machine Series, very good. The derivation of dual is awesome.

[4] Leo Zhang's SVM Learning Series. His blog also contains many other machine learning algorithms.

[5] v_july_v introduction to SVM (understanding the three-layer realm of SVM ). Structure-based algorithm blog.

[6] Li Hang's statistical learning method, Tsinghua University Press

[7] SVM Learning -- Sequential Minimal Optimization

[8] SVM algorithm implementation (1)

[9] Sequential Minimal Optimization: A FastAlgorithm for Training Support Vector Machines

[10] SVM-from "Principle" to implementation

[11] SVM getting started Series

[12] SVM versions and their multi-language implementation code collection

[13] Karush-Kuhn-Tucker (KKT) conditions

[14] a deep understanding of the conditions of the Laplace Multiplier and KKT

[15] Machine Learning Algorithms and python practices