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Madaniyat. Madaniyatshunoslik
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Ўзбекистонда маънавият соҳасидаги ислоҳотлар: ривожланиш босқичлари эришилган натижалар ва истиқболи
Ушбу китоюда Ўзбекистонда маънавият соҳасидаги олиб борилаётган ислоҳотлар ва уларнинг босқичма босқич ривожланиши ҳақида маълумотлар келтирилган.
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Deep Neuro-Fuzzy Systems with Python
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 with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. TinyML, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. TinyML is a trademark of the tinyML Foundation and is used with permission. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights.
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Deep Learning with PyTorch
A lot of data is generated by businesses every day. This data is rich and when analyzed properly, we can gain insights that are of great importance. Deep learning is a branch of machine learning through which we can extract such insights from data. Deep learning involves the creation of neural networks to process data. These normally work from the inspiration of how the human brain works. PyTorch is a deep learning library that can be used for creation of neural networks. This book helps you understand deep learning in Python using PyTorch.
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Tiny Python Projects
No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps.
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Пособие для работы по газете
Цель пособия-привить учащимся первичные навыки чтения газетных текстов, подготовить их к повседневному чтению газет.
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Deep Learning with Python
Recognizing the importance of preserving what has been written, it is Manning’s policy to have the books we publish printed on acid-free paper, and we exert our best efforts to that end. Recognizing also our responsibility to conserve the resources of our planet, Manning books are printed on paper that is at least 15 percent recycled and processed without the use of elemental chlorine.
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0 ‘ZBEKIST0N MADANIYATI
0 “quv qoMlanmada o ‘zbek m adaniyatining nazariy asoslari, tarixi va Mustaqillik davridagi yutuqlari o ‘z ifodasini topgan. U nda madaniyat tushunchasi va uning mohiyati, turlari, funksiyalari. m a’naviy m eros, sivilizatsiya m asalalari, tarixim izning turli davrlarida yaratilgan madaniy boyliklar va ulam ing o ‘ziga xos xususiyatlari, tajribalari yangicha yondashuvlar asosida yoritilgan. Ayniqsa. Mustaqillik davri madaniyatiga, jumladan , madaniy islohotlar, milliy g ‘oya, a n ’anaviy m adaniyatning tiklanishi, 0 ‘zbekiston badiiy m adaniyati yutuqlari, m adaniy-m a’rifiy muassasalar faoliyatiga alohida e 'tib o r berilgan.
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Automotive Systems and Software Engineering
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. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Маълумотлар узатиш тизимлари ва тармоқлари
Ушбу китобда “Маълумотлар узатиш тизимлари ва тармоқлари” ўқув курси бўйича таълимни технологиялаштириш қоидалари, яъни дидактик тамойиллар, маъруза, амалий (семинар) ва тажриба машғулотлари технологиясини ишлаб чиқиш усуллари, унинг асосий хусусиятлари ҳисобга олинган ҳолда таълим-тарбия жараёнини лойиҳалаштирилган тажриба-синов таълим технологияси келтирилган. Китоб «Маълумотлар узатиш тизимлари ва тармоқлари» фанини ўқитадиган олий ўқув юртлари ва узлуксиз таълим тизимидаги барча ўқув муассасалари профессор-ўқитувчилари учун мўлжалланган.
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Deep Learning with Keras
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
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Физика твердого тела
Хорошо известна роль физики твердого тела в современной технике (достаточно упомянуть о сверхпроводимости, полупроводниковых приборах, лазерной технике и оптоэлектронике). В связи с этим в большинстве высших учебных заведений читаются отдельные курсы физики твердого тела или большие разделы в рамках общих курсов физики. Настоящее учебное пособие соответствует программе по физике для студентов высших технических учебных заведений и включает основные сведения о тепловых, электрических, магнитных и оптических свойствах твердых тел. Этим разделам предшествует краткое изложение необходимого материала из квантовой механики и статистической физики. Основной целью книги является как последовательное изложение современных представлений в области физики твердого тела, так и рассмотрение физических основ работы типичных твердотельных устройств.
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TypeScript Quickly
No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps. Recognizing the importance of preserving what has been written, it is Manning’s policy to have the books we publish printed on acid-free paper, and we exert our best efforts to that end. Recognizing also our responsibility to conserve the resources of our planet, Manning books are printed on paper that is at least 15 percent recycled and processed without the use of elemental chlorine.
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Deep Learning with Azure
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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Ma’lumotlar bazasini boshqarish sistemasi (ASSES windows - 9У/2000 uchun).
Mazkur kitobda ma’lumotlar bazasini loyihalash, uning usullari va ma’lumotlarni ma’lum bir tizimga keltirish haqida tushunchalar hamda loyihalashga doir bir qator misollar berilgan. Windows-95 va uning keyingi versiyalari asosida ishlaydigan Access-ma’lumotlar bazasini boshqarish sistemasining tafsiloti keltirilgan. Accessning tarkibini tashkil etuvchi asosiy elementlar - jadvallar, so'rovlar, formalar, hi- sobotlar, modullar, makroslar, misollar va rasmlar yordamida keng yo- ritilgan. Access imkoniyatlarining keng yoritilishi ma’lumotlar bazasini yaratuvchilar uchun qulayliklar tug‘diradi. Kitobdan akademik litsey, kollej va oliy o‘quv yurti talabalari, shuningdek, mustaqil o‘rga- nuvchilar ham foydalanishlari mumkin. Kitobning sodda va tushunarli tilda yozilganligi undan foydalanishni osonlashtiradi.