Artificial intelligence : a modern approach by Stuart Russell; Peter Norvig; Stuart J. RussellThe long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. KEY TOPICS: Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. MARKET: For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.
ISBN: 0136042597
Publication Date: 2010
Computer Security: a hands-on approach by Wenliang DuThis book is a part of another book titled "Computer & Internet Security: A Hands-on Approach, 2nd Edition" (687 pages). It is created to lower the cost on students, as many courses only need this part. It covers 17 of the 26 chapters. This book is based on the author's 18 years of teaching and research experience. It covers the fundamental principles in Computer Security, including software security, hardware security, web security, and cryptography. Its goal is to help readers understand how various attacks work, what their fundamental causes are, how to defend against them, and how various defense mechanisms work. The book can be used as a textbook for undergraduate and graduate courses. The author strongly believes in "learning by doing", so the book takes a hands-on approach. For each security principle, the book uses a series of hands-on activities to help explain the principle; readers can "touch", play with, and experiment with the principle, instead of just reading about it. For instance, if a security principle involves an attack, the book guides readers to actually launch the attack (in a contained environment). Readers can learn better from such hands-on activities. The hands-on activities are based on the author's widely adopted SEED Labs, which have been used by over 1000 institutes in more than 65 countries.
ISBN: 9781733003902
Publication Date: 2019-05-01
The art of computer programming - Seminumerical Algorithms by Donald E. KnuthThe bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming. -Byte, September 1995 I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up. -Charles Long If you think you're a really good programmer... read [Knuth's] Art of Computer Programming... You should definitely send me a resume if you can read the whole thing. -Bill Gates It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers. -Jonathan Laventhol The second volume offers a complete introduction to the field of seminumerical algorithms, with separate chapters on random numbers and arithmetic. The book summarizes the major paradigms and basic theory of such algorithms, thereby providing a comprehensive interface between computer programming and numerical analysis. Particularly noteworthy in this third edition is Knuth's new treatment of random number generators, and his discussion of calculations with formal power series. Ebook (PDF version) produced by Mathematical Sciences Publishers (MSP),http://msp.org
ISBN: 9780201896848
Publication Date: 1998
Introduction to Machine Learning by Ethem AlpaydinIntroduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
ISBN: 0262028182
Publication Date: 2014-08-22
Computational complexity : a modern approach by Sanjeev Arora; Boaz BarakThis beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint set. The book starts with a broad introduction to the field and progresses to advanced results. Contents include: definition of Turing machines and basic time and space complexity classes, probabilistic algorithms, interactive proofs, cryptography, quantum computation, lower bounds for concrete computational models (decision trees, communication complexity, constant depth, algebraic and monotone circuits, proof complexity), average-case complexity and hardness amplification, derandomization and pseudorandom constructions, and the PCP theorem.
ISBN: 9780521424264
Publication Date: 2009-04-20
Pattern Recognition and Machine Learning by Christopher M. BishopThis is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
ISBN: 0387310738
Publication Date: 2011-04-06
Convex Optimization by Stephen Boyd; Lieven VandenbergheConvex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
ISBN: 9780521833783
Publication Date: 2004-03-08
The C Answer Book by Clovis L. Tondo; Scott E. GimpelProvides solutions to all exercises in Kernighan & Ritchie's new ANSI C book. Ideal for use with K&R in any course on C. Careful study of this answer book will help understand ANSI C and enhance programming skills. Tondo & Gimpel describe each solution and completely format programs to show the logical flow.
ISBN: 9780131096530
Publication Date: 1988-11-01
Natural Language Processing with Python by Steven Bird; Ewan Klein; Edward LoperThis book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
ISBN: 0596516495
Publication Date: 2009-07-14
Principles of Data Mining by Max BramerData Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed worked examples, with a focus on algorithms rather than mathematical formalism. It is written for readers without a strong background in mathematics or statistics, and any formulae used are explained in detail. This second edition has been expanded to include additional chapters on using frequent pattern trees for Association Rule Mining, comparing classifiers, ensemble classification and dealing with very large volumes of data. Principles of Data Mining aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Suitable as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science.
ISBN: 9781447148838
Publication Date: 2013-03-08
Dive into Python 3 by Mark PilgrimMark Pilgrim's Dive Into Python 3 is a hands-on guide to Python 3 and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end. This book includes: Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more A detailed case study of porting a major library from Python 2 to Python 3 A comprehensive appendix of all the syntactic and semantic changes in Python 3 This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.
计算机科学概论 J. Glenn Brookshear, Dennis Brylow著本书是计算机科学概论课程的经典教材,全书对计算机科学做了百科全书式的精彩阐述,充分展现了计算机科学的历史背景、发展历程和新的技术趋势。本书首先介绍的是信息编码及计算机体系结构的基本原理,进而讲述操作系统和组网及因特网,接着探讨算法、程序设计语言及软件工程,然后讨论数据抽象和数据库方面的问题,讲述图形学的一些主要应用以及人工智能,以计算理论的介绍结束全书。
UNIX网络编程. 卷2 = 进程间通信 (美) W. Richard Stevens著本书是一部UNIX 网络编程的经典之作!进程间通信(IPC)几乎是所有Unix 程序性能的关键,理解IPC 也是理解如何开发不同主机间网络应用程序的必要条件。本书从对Posix IPC 和System V IPC 的内部结构开始讨论,全面深入地介绍了4 种IPC 形式:消息传递(管道、FIFO、消息队列)、同步(互斥锁、条件变量、读写锁、文件与记录锁、信号量)、共享内存(匿名共享内存、具名共享内存)及远程过程调用(Solaris门、Sun RPC)。附录中给出了测量各种IPC 形式性能的方法。
代码大全 (美) Steve McConnell著本书是一本百科全书式的软件构建手册,涵盖了软件构建活动的方方面面,尤其强调提高软件质量的种种实践方法。书中详细讨论了类和函数命名、变量命名、数据类型和控制结构、代码布局等编程的最基本要素,也讨论了防御式编程、表驱动法、协同构建、开发者测试、性能优化等有效开发实践。
C程序设计语言 (美) Brian W. Kernighan, Dennis M. Ritchie著本书系统、全面总结了蛋白质组学在精准医学中的应用研究成果, 从蛋白质组学基本概念及新技术应用入手, 系统阐述蛋白质组学在肝病、胃癌、食管癌、结直肠癌、肺癌、肾病、心血管疾病、神经退行性疾病研究中的应用, 并特别介绍体液蛋白质组学及其应用, 蛋白质组学“大数据”与生物信息学方法, 为将蛋白质组学应用于精准医学临床的科研人员和临床专家提供理论总结与借鉴。
算法导论 (美) Thomas H. Cormen 等著本书将严谨性和全面性融为一体, 深入讨论各类算法, 并着力使这些算法的设计和分析能为各个层次的读者接受。全书各章自成体系, 可以作为独立的学习单元; 算法以英语和伪代码的形式描述, 具备初步程序设计经验的人就能看懂; 说明和解释力求浅显易懂, 不失深度和数学严谨性。