【干货书】机器学习速查手册，135页pdf

这份手册最大的特点就是包含许多关于机器学习的经典公式和图表，有助于您快速回忆有关机器学习的知识点。非常适合那些正在准备与机器学习相关的工作面试的人。

项目地址： https://github.com/soulmachine/machine-learning-cheat-sheet

该手册虽然只有 135 页，但麻雀虽小五脏俱全，包含了 28 个主题内容，目录如下：

• Introduction
• Probability
• Generative models for discrete data
• Gaussian Models
• Bayesian statistics
• Frequentist statistics
• Linear Regression
• Logistic Regression
• Generalized linear models and the exponential family
• Directed graphical models(Bayes nets)
• Mixture models and the EM algorithm
• Latent linear models
• Sparse linear models
• Kernels
• Gaussian processes
• Adaptive basis function models
• Hidden markov Model
• State space models
• Undirected graphical models(Markov random fields)
• Exact inference for graphical models
• Variational inference
• More variational inference
• Monte Carlo inference
• Markov chain Monte Carlo (MCMC)inference
• Clustering
• Graphical model structure learning
• Latent variable models for discrete data
• Deep learning