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The Best-Selling Programmer Resource–Now Updated for C++11 The C++ standard library provides a set of common classes and interfaces that greatly extend the core C++ language. The library, however, is not self-explanatory. To make full use of its components - and to benefit from their power - you need a resource that does far more than list the classes and their functions. The C++ Standard Library - A Tutorial and Reference, 2nd Edition describes this library as now incorporated into the new ANSI/ISO C++ language standard (C++11). The book provides comprehensive documentation of each library component, including an introduction to its purpose and design; clearly written explanations of complex concepts; the practical programming details needed for effective use; traps and pitfalls; the exact signature and definition of the most important classes and functions; and numerous examples of working code. The book focuses on the Standard Template Library (STL), examining containers, iterators, function objects, and STL algorithms. You will also find detailed coverage of strings, concurrency, random numbers and distributions, special containers, numerical classes, internationalization, and the IOStreams library. An insightful introduction to fundamental concepts and an overview of the library will help bring newcomers quickly up to speed. A comprehensive index will support the C++ programmer in his/her day-to-day life. The book covers all the new C++11 library components, including Concurrency Fractional arithmetic Clocks and Timers Random numbers and distributions New smart pointers Regular expressions New STL containers, such as arrays, forward lists, and unordered containers New STL algorithms Tuples Type traits and type utilities The book also examines the new C++ programming style and its effect on the standard library, including lambdas, range-based for loops, and variadic templates. An accompanying Web site, including source code, can be found at http://www.josuttis.com/.

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Irrational Exuberance 作者: Robert J. Shiller 出版社: Princeton University Press 副标题: Revised and Expanded Third edition 出版年: 2015-1-25 页数: 392 定价: USD 29.95 ISBN: 9780691166261 耶鲁大学公开课《金融市场》的老师 Shiller的作品，也是他在课上指定的第三本教科书

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron English | 13 Mar. 2017 | ASIN: B06XNKV5TS | 581 Pages | AZW3 | 21.66 MB Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details

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