说明：Information Theory, Inference, and Learning Algorithms
说明：Gaussian Processes for Machine Learning
说明：Reinforcement Learning: - An Introduction
说明：A Probabilistic Theory of Pattern Recognition（模式识别的概率理论）
说明：Introduction to Information Retrieval（信息检索简介）
说明：Forecasting: principles and practice（预测：原则和实践）
说明：A Quest for AI(AI的任务)
说明：Machine Learning, Neural and Statistical Classification
说明：Bayesian Reasoning and Machine Learning
说明：R Programming for Data Science