Unilibrary. Oliy ta'lim muassasalarining yagona elektron kutubxona axborot tizimi.

Informatika o'qitish metodikasi

Darslikda informatika o'qitish metodikasini fan sifatida o'qitilishi informatika yo'nalishidagi fanlarni o'quvchilarga o'rgatishda didaktik tamoyillarga rioya qilish

O`zbekiston Respublikasi konstitutsiyasini o`rganish

Darslik O 'zbekiston Respublikasi Konstitutsiyasi va u asosidaqabul qilingan qonunlarga tayangan holda yozilgan bo 'lib, unda Konstitutsiyaviy institutlar va normalarning ahamiyati, inson huquqva erkinliklari, burchlari va kafolatlari haqida, shuttingdek, 2002-y il 27-yanvarda o 'tka zilg a n umum.xalq referendum i natijalarigak o 'ra hamda uning asosida qabul qilingan 2003-yil 24-apreldagiO 'zbekiston R espublikasining Qonuniga m uvofiq K onstituisiyamizning XVIII, X IX , X X , X X III boblariga tuzatish va qo 'shimchalarkiriiilgan normalar mohiyati, davlat vajam iyat qurilishi, sud-huquq sohasida amalga oshirilavotgan demokratik islohotlar o 'z ifodasini topgan.

Қурилиш конструкциялари

Дарсликда енгил бетоннинг физик-механик хусусияти, енгил ва оғир бетонлардан тайёрланган йиғма темир-бетон конструкцияларини хисоблаш йўллари, оддин темир-бетон ва олдиндан зўриктирилган конструкцияларни хисоблаш, лойиҳалаш йўллари, турли бинокорлик ашёларидан фойдаланиш йўллари, пўлат арматура ва бетонлар батафсил тахлил килинган

Machine Learning, Medical AI and Robotics: Translating Theory into the Clinic

Artificial intelligence (AI) is increasingly being used in a variety of health care applications, including drug development, remote patient monitoring, medical diagnostics and imaging, wearables, virtual assistants, and hospital administration. Many areas that rely on large data are also predicted to gain from the deployment of AI. Medical fields that rely on imaging data, such as radiology, pathology, dermatology, and ophthalmology, have already reaped the benefits of AI applications. Radiologists are trained to visually examine medical imaging and report results to detect, define, and monitor various diseases. Such evaluations are frequently based on education, training, and experience. Over time, radiologists are trained to a diagnose complex constellation of findings with medical insights and reasoning, although as with any human-centric tasks, these may be prone to subjectivity. Emerging now are various AI radiological applications, although these have been mainly targeting certain specific diagnostic tasks. In comparison to human-centric qualitative reasoning, the strength of AI may be to tackle repetitive but straightforward tasks or deliver an automated quantitative extraction of imaging features longitudinally. When AI is integrated into the clinical process as a tool to aid clinicians, more accurate and repeatable radiological assessments may be performed. This section will review the application of AI technologies in the radiology imaging field.

Теоретические основы и актуальные проблемы технологии добычи руд редких и радиоактивных металлов

Учебник “Теоретические основы и актуальные проблемы технологии добычи руд редких и радиоактивных металлов” содержит по разработке рудных месторождений физико-химическими методами: подземным выщелачиванием, растворением. В учебнике рассмотрен ряд вопрос технологии добычи руд редких и радиоактивных металлов: теоретические основы и актуальные проблемы, технические и экономические. В ходе подготовки учебника собраны материалы опытов по добыче радиоактивных, цветных, редких металлов подземным выщелачиванием.

Binolarning injenerlik kommunikatsiyalari

Mazkur darslikda binoni isitish tizimining asoslari, binoni ventilyatsiya tizimining sovutish va ventilyatsiya asoslari, markazlashgan issiqlik ta’minoti tizimining tuzilishi, binoni gaz bilan ta’minlash asoslari hamda binoning sovuq va issiq suv ta’minoti, Binoning oqova suv tizimlari haqida to‘liq ma’lumotlar keltirilgan

Controlled Document Authoring in a Machine Translation

Every change in the paradigm of machine translation (MT) architectures has lifted the potential of MT technologies, evoking expectations, or dreams, of "human parity’ in general-purpose MT. Recent years have witnessed a significant improvement in MT performance due to the advent of neural MT, which makes use of a huge volume of text data to train a deep neural network model to generate target text from source text in a single, unified process. An increasing number of companies, governments and individuals have started to use MT tools to meet their various needs, many of which might not have emerged without the development of MT. Technologies have been expanding the sphere of translation market more than ever before.

Chizma geometriya.

Darslikni yaratishda O'zbekiston Respublikasi Oliy va o'rta maxsus ta'lim vazirligining 5140900 - kasb ta'limi sohasi bakalavriat yo'nalishlari uchun tuzilgan.

Me'morchilik

Ushbu darslik oliy o‘quv yurtlarining - «Kasb ta ’limi (Binolar va inshootlar qurilishi)» va - «Binolar va inshootlar qurilishi» yo‘nalishlari o‘quv dasturlariga mos holda yaratilgan, u uch qismdan tashkil topgan

ФИЗИК-КИМЁВИЙ ТАДҚИҚОТ УСУЛЛАРИ (ОПТИК УСУЛЛАР).1-қисм

Дарсликда кимё, биология, геология, нефт ва газ кимёси, табиий ва физиологик фаол бирикмалар кимёси, агрокимё ва агротупроқшунослик, экология ва атроф-муҳит муҳофазаси, озиқовқат хавфсизлиги, маҳсулотларнинг кимёвий тахлили йўналишлари мутахассисликлари ва ихтисосликлари бўйича таълим олаётган бакалавр, магистр, докторант ва илмий изланувчилар учун белгиланган мавзулар

Arxitektura

Ushbu darslikning maqsadi talabalar binolarni loyihalash asoslari va qurish metodikasi hamda zilzilaviy hududlarda turur - joy jamoat va sanoat binolarining turli xil turlarini ishlab chiqishda vujudga keladigan asosiy masalalarning me'yoriy talablari va ularning loyihalash metodlari bilan tanishtirishdan iborat

Analysing English-Arabic Machine Translation: Google Translate, Microsoft Translator and Sakhr

Machine translation (MT) has become a vital aid millions of people use daily without thinking twice about how suitable the output is. All around the world, users of free systems like Google Translate or Microsoft Translator get a translation whose quality they more often than not are unable to assess. Supposing they know the target language, they will get an impressionistic view of the fluency and naturalness of the translations. Yet they will have no idea about the real worth of the translation, whether it is adequate and error free in terms of meaning, idiomaticity or register. And if they don’t know the language the machine translated into, they are completely blind as to the worth of their search result.

Введение в языкознание

Курс "Введение в языкознание" является oсновополагающим в процессе обучения студентов-филологов. Учебник познокомит студентов с основными понятиями современного языкознания, с лингвистической терминалогией.

ONA TILI

Til – tafakkur, tarix va tabiat hamda taraqqiyotning tengsiz tarjimonidir. Ona tili esa Bosh qomus kabi erkli millatning tarixiy va muqaddas hujjatidir. Darhaqiqat, har bir millat o‘z ona tili orqali ajdodlardan avlodlariga milliy tajribasini, qaymoq va ibratli qaynoq tarixini, yangilangan hamda yuksalgan dunyoqarashini, olmos tafakkurini, tarbiya tutumini ulashadi. Shuning uchun ham til kishilik jamiyatining tarixiy taraqqiyoti jarayonida ijtimoiy ong mahsuli sifatida yuzaga kelgan moddiy, ma’naviy va madaniy boyliklarning ifodasi bo‘lgan murakkab tizimdir. Tilning tabiati, mohiyati, jamiyatda tutgan o‘rni, ichki mexanizmi va ishlash tamoyillarini ilmiy nazariy jihatdan idrok etishga intilish, uni ta’riflashdagi turlicha nuqtai nazarlar ifodasida yaqqol ko‘zga tashlanadi

Биофизика 1часть

Учебник «Биофизика. Часть I» предназначен для студентов естественнонаучных и медицинских специальностей высших учебных заведений. В учебнике рассматриваются следующие разделы биофизики: термодинамика биологических процессов; кинетика биологических процессов

Machine Translation and Transliteration involving Related, Low-resource Languages

Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established.