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Umumtexnikaviy fanlar,
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Umumtexnikaviy fanlar,
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Mining Association Rules between Sets of Items in Large Databases
Rakesh Agrawal, Tomasz Imieliński, Arun Swami,Umumtexnikaviy fanlar, -
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Umumtexnikaviy fanlar,
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Umumtexnikaviy fanlar,
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Umumtexnikaviy fanlar,
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Umumtexnikaviy fanlar,
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Pochta aloqasi infrastrukturasi
Samandarov B, Omonov I., Matsapayev J.,Darslikda pochta aloqasi tarmoqlari va ularni qurish, zamonaviy pochta infrastrukturasini modernizatsiyalash va rivojlantirish, pochta aloqasi korxonalarini transformatsiya qilish, pochta aloqasi xizmatlaridan foydalanuvchilarga samarali va sifatli xizmat ko‘rsatishi uchun zarur bo‘lgan maxsus bilim va ko‗nikmalarni shakllantirishga qaratilgan. Darslik 60611400- Pochta aloqasi texnologiyasi yoʻnalishi boʻyicha tahsil olayotgan bakalavrlar uchun moʻljallangan.
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Jamoat binolarini loyihalash
A.S. Sobirov, S.A. Yusufov, X.A. Madirimov.,Savdo va maishiy xizmat binolari. Univermag, supermarket, maishiy xizmat majmuasi va Yopiq bozor loyihasi. Arxitekturaviy loyihalash to'g'risida ma'lumot. Univermag, Yopiq bozor binolari mavzusini o'rganish, eskizlar chizish, maketlar yasash, g'oyani yaratish va uni shakllantirish usullarini o'rganish.
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Data Analytics with Spark Using Python
Jeffrey Aven,Many titles include programming code or configuration examples. To optimize the presentation of these elements, view the e-book in single-column, landscape mode and adjust the font size to the smallest setting.
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Большие данные
Макшанов А. В.,В учебнике излагается содержание курса по дисциплине «Теория информационных процессов и систем», а также дополнительные материалы по дисциплинам «Системы поддержки принятия решений» и «Технологии интеллектуального анализа данных» по направлению «Информационные системы и технологии», в том числе профиля «Информационные технологии на транспорте» в соответствии с ФГОС 3++. Рассмотрены основные аспекты работы с большими данными, методы и технологии «Big Data» и «Data Mining», а также общие приемы интеллектуального анализа данных. В качестве инструментальной среды разработки используется интегрированный пакет MatLab версий 6.5 и выше.
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Big Data Analytics with Spark
Mohammed Guller,This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
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Machine Learning
Kevin P. Murphy,With the ever increasing amounts of data in electronic form, the need for automated methods for data analysis continues to grow. The goal of machine learning is to develop methods that can automatically detect patterns in data, and then to use the uncovered patterns to predict future data or other outcomes of interest. Machine learning is thus closely related to the fields of statistics and data mining, but differs slightly in terms of its emphasis and terminology. This book provides a detailed introduction to the field, and includes worked examples drawn from application domains such as molecular biology, text processing, computer vision, and robotics.
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Data Mining
Jiawei Han, Micheline Kamber, Jian Pei,The book gives quick introductions to database and data mining concepts with particular emphasis on data analysis. It then covers in a chapter-by-chapter tour the concepts and techniques that underlie classification, prediction, association, and clustering.
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Beton to'ldiruvchilar texnologiyasi
Yusupova Lola.,Ushbu darslik "Qurilish muhandisli"gining barcha yo'nalishlarida tahsil olayotgan bakalavriat talabalari va magistrantlar, doktorant, shuningdek, qurilish sohasi mutaxassislari uchun asosiy nazariy bilimlarni olishga mo'ljallangan. Unda to'ldiruvchilar ishlab chiqarishning xomashyo manbalari, texnologiyalari, ularning xossalari, talablar, sinov usullari va beton tarkibida qo'llanilish sohalari yoritilgan. Mahalliy xomashyo va sanoat chiqindilaridan foydalanish, material va energiya sarfini kamaytirish hamda to'ldiruvchilar sifatini oshirishga alohida e'tibor qaratilgan. Shuningdek, ushbu darslik nazariy ma'lumotlar bilan birga talabalar amaliy ko'nikmalar olishi va loyiha ishlarini bajarishlari uchun qo'shimcha materiallar bilar boyitilgan.
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Mining Association Rules between Sets of Items in Large Databases
Rakesh Agrawal, Tomasz Imieliński, Arun Swami,We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an efficient algorithm that generates all significant association rules between items in the database.
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Data Mining
Jiawei Han, Micheline Kamber,Data mining is a multidisciplinary field, drawing work from areas including database technology, machine learning, statistics, pattern recognition, information retrieval, neural networks, knowledge-based systems, artificial intelligence, high-performance computing, and data visualization.
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Data Mining
Ian H. Witten, Eibe Frank, Mark A. Hall,Data mining is the extraction of implicit, previously unknown, and potentially useful information from data. The idea is to build computer programs that sift through databases automatically, seeking regularities or patterns. Strong patterns, if found, will likely generalize to make accurate predictions on future data. Of course, there will be problems.
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Data Mining and Analysis
Mohammed J. Zaki, Wagner Meira Jr.,The book includes many examples to illustrate the main technical concepts. It also has end-of-chapter exercises, which have been used in class.All of the algorithms in the book have been implemented by the authors.
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Big Data, Data Mining, and Machine Learning
Jared Dean,This book provides excellent coverage of the technical skills needed by analytical consultants in today's market. The focus on modem methods makes this book relevant for business leaders who want to reap the rewards that analytics can bring to an organization. In my experience, one of the greatest missing links in implementing an anatytics-based strategy is a shortage of executives who triiy understand analytics-both the capab*ties analytics can provide as '.veil as the Imitations. This book can help you close that knowledge gap. Jared does an excellent job of making the concepts approachable while giving complete explanations with ample examples.
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Big Data Now
O'Reilly Media,O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://my.safaribooksonline.com). For more information, contact our corporate/institutional sales department.
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Artificial Intelligence
Stuart J. Russell, Peter Norvig,Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
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Avtomobil va traktorlarning virtual sinovlari
X.K. Yakubov, O.T. Mirzayev,Ushbu o'quv qo'llanma oliy texnik o'quv yurtlarida 60712400-"Avtomobilsozlik va traktorsozlik" bakalavriyat ta'lim yo'nalishida ta'lim olayotgan talabalarning traktor va avtomobillarning virtual sinash jarayonlarini o'rganishlarida asosiy adabiyotlardan biri sifatida moljallangan. Unda avtomobil va traktorlarni virtual sinash metodikasi, avtomobil να traktorlar, ularning agregat va uzellarining virtual sinovlari, shuningdek, avtonom transport vositalari uchun virtual sinov texnologiyalari haqida ma'lumotlar keltirilgan.
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Информатика и информационные технологии
Гаврилова М. В., Климова В. А.,Учебник подготовлен в рамках актуальных требований Федерального государственного образовательного стандарта высшего образования но специальностям высшего и среднего профессионального образования.
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Информационные технологии в профессиональной деятельности
Михеева Е.В., О. И. Титова,Учебник подготовлен в соответствии с требованиями Федерального государственного образовательного стандарта среднего ирофессионалького образования по специальностям из списка ТОП-50 «Монтаж, техническое обслуживание и ремонт промышленного оборудования (по отраслям)», «Оснащение средствами автоматизации технологических процессов и производств (но отраслям)», «Технология аналитического контроля химических соединений», «Техническое обслуживание и ремонт двигателей, систем и агрегатов автомобилей» и «Эксплуатация я ремонт сельскохозяйственной техники и оборудования». Учебное издание предназначено для изучения общепрофессиональной дисциплины «Информационные технологии в профессионалыной деятельности.
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Oxford English for Information Technology
Eric H.Glendinning, John McEwan,This Second Edition of Oxford English for Information Technology teaches students language skills in the context of computing and information technology. The audio CD contains all the dialogues, interviews, discussions and listening tasks.
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Информатика и информационные технологии.
Угринович Н. Д.,Учебник предназначен для изучения курса «Информатика и информационные технологии* (ИИТ) в общеобразовательных учреждениях. Учебно-методический комплект (учебник, практикум, методическое руководство, компьютерный практикум на CD-ROM), в который входит данный учебник, полностью соответствует разработанному Министерством образования новому общеобразовательному стандарту по ИИТ и обеспечивает возможность изучения углубленного курса ИИТ в 10-11 классах по естественно-математическому, информационно-технологическому и общеобразовательному профилям. Особое внимание уделено изучению объектно-ориентированного программирования на языке Visual Basic, основ логики, систем счисления и коммуникационных технологий.