这是关于统计推理的电子书，高清，最新版本，经典著作，英文版

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Information Theory, Inference, and Learning Algorithms高清pdf，Information Theory, Inference, and Learning Algorithms高清pdf，

《The Elements of Statistical Learning-Data Mining, Inference, and Prediction》英文原版教材第二版

经典的统计学教程，国外考博必备参考书。 非常系统的介绍了统计学知识。

This book requires a strong foundation in signals and systems (see Oppenheim's classic Signals and Systems text, which is used in MIT's 6.003 course) as well as probability (see Bertsekas and Tsitsiklis's text, Introduction to Probability, used for MIT's 6.041 course).

信号与系统最新的教科书，mit教授A. V. Oppenheim的又一力作。介绍了信号与系统分析的基本理论，重点讲述了系统的线性状态空间模型分析、系统的概率模型，假设检验和系统参数估计等内容。将于2016年正式出版。

统计推断的经典教材！

tensorflow训练网络模型 ，生成用于模型预测的pb模型文件，输入图片，进行前向预测

统计推断(Statistical Inference) 英文 第二版 练习题 答案