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Tuesday, March 10, 2020

Speech and Language Engineering PDF Download

Speech and Language Engineering PDF
By:Martin Rajman
Published on 2007-04-27 by EPFL Press


Efficient processing of speech and language is required at all levels in the design of human-computer interfaces. In this perspective, the book provides a global understanding of the required theoretical foundations, as well as practical examples of successful applications, in the area of human-language technology. The authors start from acoustic signal processing to pragmatics, covering all the important aspects of speech and language processing such as phonetics, morphology, syntax, and semantics.Throughout the volume, the reader can easily notice an emerging methodology, a key issue in the rational design of efficient and robust language-based computer applications. While engineering rigor is guaranteed in all chapters, particular care has been taken in highlighting intuitive aspects of technical details.Contributions from acknowledged experts in the relevant sub-disciplines make this book a truly unique offering in the available literature on speech and language engineering.

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Book which was published by EPFL Press since 2007-04-27 have ISBNs, ISBN 13 Code is 9782940222049 and ISBN 10 Code is 2940222045

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Learn Android Studio PDF Download

Learn Android Studio PDF
By:Clifton Craig,Adam Gerber
Published on 2015-05-15 by Apress


Learn Android Studio covers Android Studio and its rich tools ecosystem, including Git and Gradle: this book covers how Android Studio works seamlessly with Git, for source control, and Gradle, a build and test tool. In addition, this book demonstrates how to develop/collaborate with remote Git web-hosting services such as GitHub and Bitbucket. Four complete Android projects accompany this volume and are available for download from a public Git repository. With this book, you learn the latest and most productive tools in the Android tools ecosystem, and the best practices for Android app development. You will be able to take away the labs' code as templates or frameworks to re-use and customize for your own similar apps. Android Studio is an intuitive, feature-rich, and extremely forgiving Integrated Development Environment (IDE). This IDE is more productive and easier to use for your Android app creations than Eclipse. With this book you will quickly master Android Studio and maximize your Android development time. Source code on the remote web-hosting service is targeted to the latest Android Studio release, version 1.2.

This Book was ranked at 32 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Learn Android Studio's Books is yFEnCgAAQBAJ, Book which was written byClifton Craig,Adam Gerberhave ETAG "ZUSuWtkDJds"

Book which was published by Apress since 2015-05-15 have ISBNs, ISBN 13 Code is 9781430266020 and ISBN 10 Code is 1430266023

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SAS Certified Specialist Prep Guide PDF Download

SAS Certified Specialist Prep Guide PDF
By:SAS Institute
Published on 2019-02-11 by SAS Institute


The SAS® Certified Specialist Prep Guide: Base Programming Using SAS® 9.4 prepares you to take the new SAS 9.4 Base Programming -- Performance-Based Exam. This is the official guide by the SAS Global Certification Program. This prep guide is for both new and experienced SAS users, and it covers all the objectives that are tested on the exam. New in this edition is a workbook whose sample scenarios require you to write code to solve problems and answer questions. Answers for the chapter quizzes and solutions for the sample scenarios in the workbook are included. You will also find links to exam objectives, practice exams, and other resources such as the Base SAS® glossary and a list of practice data sets. Major topics include importing data, creating and modifying SAS data sets, and identifying and correcting both data syntax and programming logic errors. All exam topics are covered in these chapters: Setting Up Practice Data Basic Concepts Accessing Your Data Creating SAS Data Sets Identifying and Correcting SAS Language Errors Creating Reports Understanding DATA Step Processing BY-Group Processing Creating and Managing Variables Combining SAS Data Sets Processing Data with DO Loops SAS Formats and Informats SAS Date, Time, and Datetime Values Using Functions to Manipulate Data Producing Descriptive Statistics Creating Output Practice Programming Scenarios (Workbook)

This Book was ranked at 22 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

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Book which was published by SAS Institute since 2019-02-11 have ISBNs, ISBN 13 Code is 9781642951769 and ISBN 10 Code is 1642951765

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Research Directions in Computational Mechanics PDF Download

Research Directions in Computational Mechanics PDF
By:
Published on 1991 by National Academies


Computational mechanics is a scientific discipline that marries physics, computers, and mathematics to emulate natural physical phenomena. It is a technology that allows scientists to study and predict the performance of various products--important for research and development in the industrialized world. This book describes current trends and future research directions in computational mechanics in areas where gaps exist in current knowledge and where major advances are crucial to continued technological developments in the United States.

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Visual Data Mining PDF Download

Visual Data Mining PDF
By:Simeon Simoff,Michael H. Böhlen,Arturas Mazeika
Published on 2008-07-23 by Springer


Visual Data Mining—Opening the Black Box Knowledge discovery holds the promise of insight into large, otherwise opaque datasets. Thenatureofwhatmakesaruleinterestingtoauserhasbeendiscussed 1 widely but most agree that it is a subjective quality based on the practical u- fulness of the information. Being subjective, the user needs to provide feedback to the system and, as is the case for all systems, the sooner the feedback is given the quicker it can in?uence the behavior of the system. There have been some impressive research activities over the past few years but the question to be asked is why is visual data mining only now being - vestigated commercially? Certainly, there have been arguments for visual data 2 mining for a number of years – Ankerst and others argued in 2002 that current (autonomous and opaque) analysis techniques are ine?cient, as they fail to - rectly embed the user in dataset exploration and that a better solution involves the user and algorithm being more tightly coupled. Grinstein stated that the “current state of the art data mining tools are automated, but the perfect data mining tool is interactive and highly participatory,” while Han has suggested that the “data selection and viewing of mining results should be fully inter- tive, the mining process should be more interactive than the current state of the 2 art and embedded applications should be fairly automated . ” A good survey on 3 techniques until 2003 was published by de Oliveira and Levkowitz .

This Book was ranked at 13 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

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Book which was published by Springer since 2008-07-23 have ISBNs, ISBN 13 Code is 9783540710806 and ISBN 10 Code is 3540710809

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Machine Learning For Dummies PDF Download

Machine Learning For Dummies PDF
By:John Paul Mueller,Luca Massaron
Published on 2016-05-11 by John Wiley & Sons


Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

This Book was ranked at 12 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Machine Learning For Dummies's Books is DronDAAAQBAJ, Book which was written byJohn Paul Mueller,Luca Massaronhave ETAG "hNOf4+RiHtE"

Book which was published by John Wiley & Sons since 2016-05-11 have ISBNs, ISBN 13 Code is 9781119245773 and ISBN 10 Code is 111924577X

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Digital Transformation PDF Download

Digital Transformation PDF
By:Thomas M. Siebel
Published on 2019-07-09 by RosettaBooks


From visionary Silicon Valley entrepreneur Tom Siebel comes a penetrating examination of the new technologies that are disrupting business and government—and how organizations can harness them to transform into digital enterprises. The confluence of four technologies—elastic cloud computing, big data, artificial intelligence, and the internet of things —writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides readers through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity. He shows how leading enterprises such as Enel, 3M, Royal Dutch Shell, the U.S. Department of Defense, and others are applying AI and IoT with stunning results. Digital Transformation is the guidebook every business and government leader needs to survive and thrive in the new digital age.

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Book which was published by RosettaBooks since 2019-07-09 have ISBNs, ISBN 13 Code is 9781948122481 and ISBN 10 Code is 1948122480

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Machine Learning PDF Download

Machine Learning PDF
By:Hojjat Adeli,Shih-Lin Hung
Published on 1995 by Wiley


Artificial Intelligence/Neural Networks Cutting-edge approaches to designing machine learning technologies ... One of the most fascinating and promising developments to emerge in the field of artificial intelligence over the past decade has been machine learning. While automatic learning is still in its infancy, enormous strides have already been made toward developing expert computing systems with an impressive degree of learning capability. This book offers in-depth coverage of the latest developments in machine learning algorithms using object-oriented programming, neural nets, genetic algorithms, and fuzzy systems. While they concentrate most heavily on neural nets, the authors describe a number of ingenious new ways of integrating neural learning models with other, fundamentally different problem-solving paradigms to create powerful hybrids that can radically improve the learning and decision-making skills of computing systems. The only book to apply neural nets, genetic algorithms, and fuzzy systems to the field of machine learning Includes many specific algorithms Presents applications in the domains of image recognition and engineering design

This Book was ranked at 6 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Machine Learning's Books is IGhQAAAAMAAJ, Book which was written byHojjat Adeli,Shih-Lin Hunghave ETAG "ZkqniBTdhD4"

Book which was published by Wiley since 1995 have ISBNs, ISBN 13 Code is 9780471016335 and ISBN 10 Code is 0471016330

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Artificial Intelligence in Education PDF Download

Artificial Intelligence in Education PDF
By:Elisabeth André,Ryan Baker,Xiangen Hu,Ma. Mercedes T. Rodrigo,Benedict du Boulay
Published on 2017-06-22 by Springer


This book constitutes the refereed proceedings of the 18th International Conference on Artificial Intelligence in Education, AIED 2017, held in Wuhan, China, in June/July 2017. The 36 revised full papers presented together with 4 keynotes, 37 poster, presentations, 4 doctoral consortium papers, 5 industry papers, 4 workshop abstracts, and 2 tutorial abstracts were carefully reviewed and selected from 159 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas.

This Book was ranked at 24 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Artificial Intelligence in Education's Books is SWgpDwAAQBAJ, Book which was written byElisabeth André,Ryan Baker,Xiangen Hu,Ma. Mercedes T. Rodrigo,Benedict du Boulayhave ETAG "X2YnIdFiuY4"

Book which was published by Springer since 2017-06-22 have ISBNs, ISBN 13 Code is 9783319614250 and ISBN 10 Code is 3319614258

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Artificial Intelligence in Education PDF
By:Gautam Biswas,Susan Bull,Judy Kay,Antonija Mitrovic
Published on 2011-06-16 by Springer Science & Business Media


This book constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence in Education, AIED 2011, held in Auckland, New Zealand in June/July 2011. The 49 revised full papers presented together with three invited talks and extended abstracts of poster presentations, young researchers contributions and interactive systems reports and workshop reports were carefully reviewed and selected from a total of 193 submissions. The papers report on technical advances in and cross-fertilization of approaches and ideas from the many topical areas that make up this highly interdisciplinary field of research and development including artificial intelligence, agent technology, computer science, cognitive and learning sciences, education, educational technology, game design, psychology, philosophy, sociology, anthropology and linguistics.

This Book was ranked at 31 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Artificial Intelligence in Education's Books is cqwVgdS96jAC, Book which was written byGautam Biswas,Susan Bull,Judy Kay,Antonija Mitrovichave ETAG "8SdaerOHWfU"

Book which was published by Springer Science & Business Media since 2011-06-16 have ISBNs, ISBN 13 Code is 9783642218682 and ISBN 10 Code is 3642218687

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Recent Advances in Reinforcement Learning PDF Download

Recent Advances in Reinforcement Learning PDF
By:Leslie Pack Kaelbling
Published on 2007-08-28 by Springer


Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligence and Neural Network communities. Reinforcement learning has become a primary paradigm of machine learning. It applies to problems in which an agent (such as a robot, a process controller, or an information-retrieval engine) has to learn how to behave given only information about the success of its current actions. This book is a collection of important papers that address topics including the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. These papers build on previous work and will form an important resource for students and researchers in the area. Recent Advances in Reinforcement Learning is an edited volume of peer-reviewed original research comprising twelve invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 22, Numbers 1, 2 and 3).

This Book was ranked at 6 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Recent Advances in Reinforcement Learning's Books is XFDkzJIbzMIC, Book which was written byLeslie Pack Kaelblinghave ETAG "V8+ubxmVSQE"

Book which was published by Springer since 2007-08-28 have ISBNs, ISBN 13 Code is 9780585336565 and ISBN 10 Code is 0585336563

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Data Analysis, Machine Learning and Applications PDF Download

Data Analysis, Machine Learning and Applications PDF
By:Christine Preisach,Hans Burkhardt,Lars Schmidt-Thieme,Reinhold Decker
Published on 2008-04-13 by Springer Science & Business Media


Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

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Book ID of Data Analysis, Machine Learning and Applications's Books is QEmMvrOkQ-YC, Book which was written byChristine Preisach,Hans Burkhardt,Lars Schmidt-Thieme,Reinhold Deckerhave ETAG "OPt/WQ9kvaw"

Book which was published by Springer Science & Business Media since 2008-04-13 have ISBNs, ISBN 13 Code is 9783540782469 and ISBN 10 Code is 354078246X

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Python Reinforcement Learning PDF Download

Python Reinforcement Learning PDF
By:Sudharsan Ravichandiran,Sean Saito,Rajalingappaa Shanmugamani,Yang Wenzhuo
Published on 2019-04-18 by Packt Publishing Ltd


Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key Features Your entry point into the world of artificial intelligence using the power of Python An example-rich guide to master various RL and DRL algorithms Explore the power of modern Python libraries to gain confidence in building self-trained applications Book Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL. By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems. This Learning Path includes content from the following Packt products: Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran Python Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa Shanmugamani What you will learn Train an agent to walk using OpenAI Gym and TensorFlow Solve multi-armed-bandit problems using various algorithms Build intelligent agents using the DRQN algorithm to play the Doom game Teach your agent to play Connect4 using AlphaGo Zero Defeat Atari arcade games using the value iteration method Discover how to deal with discrete and continuous action spaces in various environments Who this book is for If you’re an ML/DL enthusiast interested in AI and want to explore RL and deep RL from scratch, this Learning Path is for you. Prior knowledge of linear algebra is expected.

This Book was ranked at 24 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

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Book which was published by Packt Publishing Ltd since 2019-04-18 have ISBNs, ISBN 13 Code is 9781838640149 and ISBN 10 Code is 1838640142

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Artificial Intelligence XXXV PDF Download

Artificial Intelligence XXXV PDF
By:Max Bramer,Miltos Petridis
Published on 2018-11-27 by Springer


This book constitutes the proceedings of the 38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2018, held in Cambridge, UK, in December 2018. The 25 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 46 submissions. There are technical and application papers which were organized in topical sections named: Neural Networks; Planning and Scheduling; Machine Learning; Industrial Applications of Artificial Intelligence; Planning and Scheduling in Action; Machine Learning in Action; Applications of Machine Learning; and Applications of Agent Systems and Genetic Algorithms.

This Book was ranked at 13 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Artificial Intelligence XXXV's Books is BNh7DwAAQBAJ, Book which was written byMax Bramer,Miltos Petridishave ETAG "zlzO4M8L0R4"

Book which was published by Springer since 2018-11-27 have ISBNs, ISBN 13 Code is 9783030041915 and ISBN 10 Code is 3030041913

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Machine Learning PDF Download

Machine Learning PDF
By:Kevin P. Murphy
Published on 2012-08-24 by MIT Press


A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

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Book which was published by MIT Press since 2012-08-24 have ISBNs, ISBN 13 Code is 9780262018029 and ISBN 10 Code is 0262018020

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AI 2018: Advances in Artificial Intelligence PDF Download

AI 2018: Advances in Artificial Intelligence PDF
By:Tanja Mitrovic,Bing Xue,Xiaodong Li
Published on 2018-12-03 by Springer


This book constitutes the proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, AI 2018, held in Wellington, New Zealand, in December 2018. The 50 full and 26 short papers presented in this volume were carefully reviewed and selected from 125 submissions. The paper were organized in topical sections named: agents, games and robotics; AI applications and innovations; computer vision; constraints and search; evolutionary computation; knowledge representation and reasoning; machine learning and data mining; planning and scheduling; and text mining and NLP.

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Book ID of AI 2018: Advances in Artificial Intelligence's Books is Gx19DwAAQBAJ, Book which was written byTanja Mitrovic,Bing Xue,Xiaodong Lihave ETAG "UTA/2ASKJfU"

Book which was published by Springer since 2018-12-03 have ISBNs, ISBN 13 Code is 9783030039912 and ISBN 10 Code is 3030039919

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International Conference on Computing and Information Technologies PDF Download

International Conference on Computing and Information Technologies PDF
By:George Antoniou,Dorothy Deremer
Published on 2001 by World Scientific


This book is a balanced presentation of the latest techniques, algorithms and applications in computer science and engineering. The papers, written by eminent researchers in their fields, provide a vehicle for new research and development. The proceedings have been selected for coverage in: . OCo Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings). Contents: Internet Applications; Computing in Biology; Human Computer Interface; Parallel Computing/Techniques; Computing Education; Learning Algorithms; Communication Systems/Networks; Information Technology/Linguistics; Computing Formalism/Algorithms; AI/Fuzzy Sets Application and Theory; Imaging Applications. Readership: Researchers in artificial intelligence, databases, fuzzy logic, neural networks, software engineering/programming, theoretical computer science, machine perception/computer vision, computer engineering, biomedical engineering, biocomputing, bioinformatics, biophysics and computational physics.|

This Book was ranked at 41 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of International Conference on Computing and Information Technologies's Books is PS-0L-fRbbgC, Book which was written byGeorge Antoniou,Dorothy Deremerhave ETAG "oovpEfbouRk"

Book which was published by World Scientific since 2001 have ISBNs, ISBN 13 Code is 9789812810885 and ISBN 10 Code is 9812810889

Reading Mode in Text Status is false and Reading Mode in Image Status is true

Book which have "482 Pages" is Printed at BOOK under CategoryComputers

Book was written in en

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Download International Conference on Computing and Information Technologies PDF Free

Download International Conference on Computing and Information Technologies Book Free

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Download International Conference on Computing and Information Technologies PDF

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How to Download International Conference on Computing and Information Technologies

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