Book picks similar to
Dependency Parsing by Sandra Kübler
computer-science
linguistics
language
non-fiction
Language Assessment - Principles and Classroom Practices
H. Douglas Brown - 2003
*Thorough examination of standards-based assessment and standardized testing. * Practical examples illustrate principles. *End-of-chapter exercises and suggested additional readings provide opportunities for further exploration.
Learning SPARQL
Bob DuCharme - 2011
With this concise book, you will learn how to use the latest version of this W3C standard to retrieve and manipulate the increasing amount of public and private data available via SPARQL endpoints. Several open source and commercial tools already support SPARQL, and this introduction gets you started right away.Begin with how to write and run simple SPARQL 1.1 queries, then dive into the language's powerful features and capabilities for manipulating the data you retrieve. Learn what you need to know to add to, update, and delete data in RDF datasets, and give web applications access to this data.Understand SPARQL’s connection with RDF, the semantic web, and related specificationsQuery and combine data from local and remote sourcesCopy, convert, and create new RDF dataLearn how datatype metadata, standardized functions, and extension functions contribute to your queriesIncorporate SPARQL queries into web-based applications
Artificial Intelligence: A Guide for Thinking Humans
Melanie Mitchell - 2019
The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it.In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go.Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Jiawei Han - 2000
Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business dataUpdates that incorporate input from readers, changes in the field, and more material on statistics and machine learningDozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projectsComplete classroom support for instructors at www.mkp.com/datamining2e companion site
Machine Learning: A Probabilistic Perspective
Kevin P. Murphy - 2012
Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
24 Hours Inside the President's Bunker: 9-11-01: The White House
Robert J. Darling - 2010
Robert J. Darling organizes President Bush's trip to Florida on Sept. 10, 2001, he believes the next couple of days will be quiet. He has no idea that a war is about to begin. The next day, after terrorists crash airliners into the World Trade Center towers and the Pentagon, Maj. Darling rushes to the president's underground chamber at the White House. There, he takes on the task of liaison between the vice president, national security advisor and the Pentagon. He works directly with the National Command Authority, and he's in the room when Vice President Cheney orders two fighter jets to get airborne in order to shoot down United Flight 93. Throughout the attacks, Maj. Darling witnesses the unprecedented actions that leaders are taking to defend America. As Vice President Cheney, Secretary of State Condoleezza Rice, and others make decisions at a lightning pace with little or no deliberation, he's there to lend his support. Follow Darling's story as he becomes a Marine Corps aviator and rises through the ranks to play an incredible role in responding to a crisis that changed the world in 9-11-01: The White House: Twenty-Four Hours inside the President's Bunker.
Advanced Language Construction
Mark Rosenfelder - 2012
or just learn more about how languages work with the same accurate yet fun approach as the original LCK.
Complete English Grammar Rules: Examples, Exceptions, Exercises, and Everything You Need to Master Proper Grammar (The Farlex Grammar Book Book 1)
Farlex International - 2016
The grammar book for the 21st century has arrived, from the language experts at Farlex International and TheFreeDictionary.com, the trusted reference destination with 1 billion+ annual visits. Farlex brings you the most comprehensive grammar guide yet: all the rules of English grammar, explained in simple, easy-to-understand terms. Over 500 pages of proper grammar instruction—2X more than the leading grammar book! Whether you're an expert or a beginner, there's always something new to learn when it comes to the always-evolving English language. Don't rely on multiple incomplete textbooks that contradict each other—fill in all the gaps in your grammar knowledge with one go-to guide. Only Complete English Grammar Rules gives you key exceptions, common grammar mistakes, thousands of real-world examples, and hundreds of grammar quizzes designed to help you retain what you've learned. With Complete English Grammar Rules, you'll be able to: • Quickly master basic English grammar and tackle more advanced topics. • Properly use every type of noun, verb, and even the most obscure grammar elements. • Master verb tenses, including irregular verbs and exceptions. • Avoid embarrassing grammar errors. • Immediately put your skills into action! Become a more effective writer and communicator in school, at work, and in everyday conversation.
Training for Speed, Agility, and Quickness
Lee E. Brown - 2000
Exhibiting a combination of power, speed, and quickness, they've raised the bar on performance, competition, and training. Training for Speed, Agility, and Quickness is the complete workout guide you need in order to perform a step ahead of the competition.With this total training package, you'll have exclusive online access to a video library of the most effective drills and exercises for developing movement skills, and you'll see how to perform key tests and execute the best and most complex drills from the book. Sample training programs are included for these sports:Baseball and softballFootball and rugbyBasketball and netballCombat sportsTrack and fieldSoccerLacrosseTennis and badmintonRacquetball and squashThe top sport and conditioning experts present the best information on testing, techniques, drills, and training programs to maximize athletes' movement capabilities. The book includes 262 drills and proven assessments for customizing programs and tracking progress.If you're serious about elevating your performance, Training for Speed, Agility, and Quickness is a must have.PLEASE NOTE: This is not an official book from SAQ International. For details of books including SAQ Soccer and SAQ Rugby and official SAQ resources, please visit www.saqinternational.com.
Internet & World Wide Web: How to Program
Paul Deitel - 1999
Internet and World Wide Web How to Program, 4e introduces students with little or no programming experience to the exciting world of Web-Based applications. The book has been substantially revised to reflect today's Web 2.0 rich Internet application-development methodologies. A comprehensive book that teaches the fundamentals needed to program on the Internet, this text provides in-depth coverage of introductory programmming principles, various markup languages (XHTML, Dynamic HTML and XML), several scripting languages (JavaScript, PHP, Ruby/Ruby on Rails and Perl); AJAX, web services, Web Servers (IIS and Apache) and relational databases (MySQL/Apache Derby/Java DB) -- all the skills and tools needed to create dynamic Web-based applications. The text contains comprehensive introductions to ASP.NET 2.0 and JavaServer Faces (JSF). Hundreds of live-code examples of real applications throughout the book available for download allow readers to run the applications and see and hear the outputs.The book provides instruction on building Ajax-enabled rich Internet applications that enhance the presentation of online content and give web applications the look and feel of desktop applications. The chapter on Web 2.0 and Internet business exposes readers to a wide range of other topics associated with Web 2.0 applications and businesses After mastering the material in this book, students will be well prepared to build real-world, industrial strength, Web-based applications.
Machine Learning for Hackers
Drew Conway - 2012
Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data
The Naughty Little Book of Gaelic: All the Scottish Gaelic You Need to Curse, Swear, Drink, Smoke and Fool Around
Michael Newton - 2014
Standards of morality and social conventions changed dramatically during the 19th century – and most of the people engaged in recording and commenting upon Highland life and tradition were puritanical ministers and priests who left out the racy bits. So, while there are many useful books that provide a wide range of Scottish Gaelic vocabulary to express many aspects of daily life – for the most part, they leave out the naughty bits.
Pattern Recognition and Machine Learning
Christopher M. Bishop - 2006
However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Professional PHP Programming
Sascha Schumann - 1999
PHP is a server-side, HTML-embedded scripting language. It is an open source technology, rapidly gaining popularity as a scripting language for people running dynamic websites. One of its major attractions over Perl, JavaScript and other scripting languages is that PHP has a built-in database integration layer and seamless IP connectivity, with LDAP and TCP as well as the IMAP mail interface. Features; Real world, practical experience and techniques From installation and configuration of the PHP engine to advanced dynamic application design Definitive coverage of core PHP language and database addressing: MySQL is covered in depth. Practical e-commerce and business scripting including database application development, together with PHP and XML applications. LDAP connectivity addressed.
Concepts of Programming Languages
Robert W. Sebesta - 1988
It presents the principles, paradigms, designs and implementations of modern programming languages, and contains increased coverage of the object-oriented programming paradigm. The book also covers semantics and Java.