Netfix 专家编写的混沌工程的理念，对构建高可用的微服务非常有启发性。

英文电磁学书籍。 我的看法是：除了语言障碍外，英文书大多过程简洁、严谨，所以也更容易看进去，看懂，尤其对于基础薄弱的读者来说。

这是一本控制领域的外文书，关于控制过程和控制信号的书～～

The Mythical Man-Month Essays on Software Engineering, Anniversary Edition.pdf

斯坦福大学的经典教材，涵盖了数字通信理论的方方面面，是非常好的教材

Hull, Elizabeth; Jackson, Ken; Dick, Jeremy 国外非常有名的需求工程书籍。

安全工程 by ross anderson

In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks. Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic neural network concepts. It contains an overview of neural network architectures for practical data analysis followed by extensive step-by-step coverage on linear networks, as well as, multi-layer perceptron for nonlinear prediction and classification explaining all stages of processing and model development illustrated through practical examples and case studies. Later chapters present an extensive coverage on Self Organizing Maps for nonlinear data clustering, recurrent networks for linear nonlinear time series forecasting, and other network types suitable for scientific data analysis. With an easy to understand format using extensive graphical illustrations and multidisciplinary scientific context, this book fills the gap in the market for neural networks for multi-dimensional scientific data, and relates neural networks to statistics. Features x Explains neural networks in a multi-disciplinary context x Uses extensive graphical illustrations to explain complex mathematical concepts for quick and easy understanding ? Examines in-depth neural networks for linear and nonlinear prediction, classification, clustering and forecasting x Illustrates all stages of model development and interpretation of results, including data preprocessing, data dimensionality reduction, input selection, model development and validation, model uncertainty assessment, sensitivity analyses on inputs, errors and model parameters Sandhya Samarasinghe obtained her MSc in Mechanical Engineering from Lumumba University in Russia and an MS and PhD in Engineering from Virginia Tech, USA.

Advanced Engineering Mathematics 9ed 作者： Erwin Kreyszig（part 1） 英文， 最新版！ 共两部分， 此为上部 工程数学 9版

Advanced Engineering Mathematics 9ed 作者： Erwin Kreyszig（part 2） 英文， 最新版！ 共两部分， 此为下部 工程数学 9版