[模拟和数字电子电路基础] Agarwal.&.Lang.(2005).Foundations.of.Analog.and.Digital.Electronic.Circuits 电子档非扫描 标签很正 很好的英文教材

仅供学习交流使用 计算机网络数学基础，纪其进译。。。Mathematical.Foundations.of.Computer.Networking. written by Srinivasan.Keshav 英文原版，PDF最后附有课后习题答案，下载你不亏

This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Certain topics that are often treated with insufficient attention are discussed in more detail here; for example, entire chapters are devoted to regression, multi-class classification, and ranking. The first three chapters lay the theoretical foundation for what follows, but each remaining chapter is mostly self-contained. The appendix offers a concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices and norms used in the book. The book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar.

[Foundations.of.Cryptography.Volume.1.Basic.Tools](Oded.Goldreich)最新版，英文，密码学与及计算复杂性的经典教材

介绍密码学和复杂性理论,理论性很强

IMPORTANT: This is a rebadged version of Real-time Operating Systems, Book 1, The Theory which (so far) has received eleven 5-star, one 4-star and one 3-star reviews. This book deals with the fundamentals of operating systems for use in real-time embedded systems. It is aimed at those who wish to develop RTOS-based designs, using either commercial or free products. It does not set out to give you a knowledge to design an RTOS; leave that to the specialists. The target readership includes: – Students. – Engineers, scientists and mathematicians moving into software systems. – Professional and experienced software engineers entering the embedded field. – Programmers having little or no formal education in the underlying principles of software-based real-time systems. The material covers the key ‘nuts and bolts’ of RTOS structures and usage (as you would expect, of course). In many cases it shows how these are handled by practical real-time operating systems. It also places great emphasises on ways to structure the application software so that it can be effectively implemented using an RTOS. After studying this even the absolute beginner will see that it isn’t particularly difficult to implement RTOS-based designs and should be confident to take on such work.

Foundations of Python Network Programming, Third Edition, covers all of the classic topics found in the second edition of this book, including network protocols, network data and errors, email, server architecture, and HTTP and web applications, plus updates for Python 3. If you’re a Python programmer who needs a deep understanding of how to use Python for network-related tasks and applications, this is the book for you. From web application developers, to systems integrators, to system administrators—this book has everything that you need to know.

QT开发基础

Winner of the 2006 Joseph W. Goodman Book Writing Award! A comprehensive treatment of the principles, mathematics, and statistics of image science In today's visually oriented society, images play an important role in conveying messages. From seismic imaging to satellite images to medical images, our modern society would be lost without images to enhance our understanding of our health, our culture, and our world. Foundations of Image Science presents a comprehensive treatment of the principles, mathematics, and statistics needed to understand and evaluate imaging systems. The book is the first to provide a thorough treatment of the continuous-to-discrete, or CD, model of digital imaging.

Practical Foundations of Windows Debugging, Disassembling, Reversing: Training Course by Dmitry Vostokov English | 11 May 2017 | ASIN: B072HWPM5B | 350 Pages | PDF | 5.51 MB This training course is a combined and reformatted version of the two previous books Windows Debugging: Practical Foundations and x64 Windows Debugging: Practical Foundations. The new format makes it easy to switch between and compare x86 and x64 versions. The book also has a larger format similar to other training courses from Software Diagnostics Services, punctuation and code highlighting improvements, the output and screenshots from the latest WinDbg 10, and consistently uses WinDbg (X86) for 32-bit examples and WinDbg (X64) for 64-bit examples. The book contains two separate sets of chapters and corresponding illustrations. They are named Chapter x86.NN and Chapter x64.NN respectively. There is some repetition of content due to the shared nature of x64 and x86 platforms. Both sets of chapters can be read independently. We included x86 chapters because many Windows applications are still 32-bit and executed in 32-bit compatibility mode on x64 Windows systems. This introductory training course can complement the more advanced course Accelerated Disassembly, Reconstruction and Reversing (ISBN: 978-1908043672).