Russell and Norvig Artificial Intelligence A Modern Approach

阅读材料 • 没有具体的教材 • 但有参考书目 – Russell and Norvig. Artificial Intelligence: A Modern Approach. -较全面的书 – Koller and Friedman. Probabilistic Graphical Models. -- 主要是概 率图模型 – Sutton and Barto. Reinforcement Learning: An Introduction. -- 马 尔科夫决策过程和强化学习 – Hastie, Tibshirani, and Friedman. The elements of statistical learning. -- 机器学习 – Tsang. Foundations of constraint satisfaction. -- 约束可满足问题

数据集 • 网上有很多开源数据集： – Kaggle is a website that runs machine learning competitions for predicting for monetary reward. – SAT competition: satisfiability problems are a special important class of CSPs. – Natural language processing datasets: links to many NLP datasets for different languages. – Poker hand dataset. – Planning domains.

开源代码 • 做实验的时候，可以找开源的代码库，但是应在它们基础 上开发自己新算法 – scikit-learn: machine learning library implemented in Python – Natural language Toolkit (NLTK): a set of tools for basic NLP in Python – Open. CV: Python libraries for simple computer vision – Tensorflow: machine learning tool – Planning: IPC (International Planning Competition)