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Large Vision-Language Models. Pre-training, Prompting, and Applications
The rapid progress in the field of large multimodal foundation models, especially vision-language models, has dramatically transformed the landscape of machine learning, computer vision, and natural language processing. These powerful models, trained on vast amounts of multimodal data mixed with images and text, have demonstrated remarkable capabilities in tasks ranging from image classification and object detection to visual content generation and question answering. This book provides a comprehensive and up-to-date exploration of large vision-language models, covering the key aspects of their pre-training, prompting techniques, and diverse real-world computer vision applications. It is an essential resource for researchers, practitioners, and students in the fields of computer vision, natural language processing, and artificial intelligence.
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Справочник мастера тепловых сетей
В справочнике приводятся нормативные данные по основным конструкциям, деталям, механизмам и инструментам, применяемым при строительстве, эксплуатации, ремонта, экономики и материально-технического снабжения в соответствии с новыми нормами и правилами.
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Statistics for business and economics. 10e
The purpose of STATISTICS FOR BUSINESS AND ECONOMICS is to give students, primarily those in the fields of business administration and economics, a conceptual introduction to the field of statistics and its many applications. The text is applications oriented and written with the needs of the nonmathematician in mind; the mathematical prerequisite is knowledge of algebra.
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Models Demystified. A Practical Guide from Linear Regression to Deep Learning
Unlock the Power of Data Science and Machine Learning. In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics, ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general.
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ОКАЗАНИЕ ПЕРВОЙ ПОМОЩИ: АЛГОРИТМЫ ДЕЙСТВИЙ, САМОПОМОЩЬ, ИСПОЛЬЗОВАНИЕ ПОДРУЧНЫХ СРЕДСТВ, ЮРИДИЧЕСКИЕ АСПЕКТЫ
Российский университет дружбы народов осуществляет важную миссию: объединяя знанием людей разных культур, формирует лидеров, которые делают мир лучше. За прошедшие десятилетия Университет выпустил более 200 тысяч специалистов, среди которых ученые, педагоги, общественные и политические деятели. Многие из них получили признание коллег, общественности, профессиональных сообществ и даже целых народов. В основе их успеха лежит большая научно-исследовательская и педагогическая работа профессорско преподавательского состава РУДН. Один из результатов издание учебных пособий, учебников, монографий и сборников научных трудов. Доброй традицией РУДН стало выпускать к юбилеям Университета лучшие книги ведущих преподавателей вуза, чтобы распространить их научный и педагогический опыт в России и за ее пределами. Серия включает учебные пособия и учебники по актуальным и инновационным направлениям, междисциплинарные учебники, монографии. «Золотая коллекция» это знак качества, присваиваемый лучшим трудам авторов РУДН на русском и иностранных языках.
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Qishloq xoʻjaligi mahsulotlari sifatini baholash fani boʻyicha
Uslubiy ko`rsatmada qishloq xoʻjaligi mahsulotlari sifatini baholash fani boʻyicha so`z yuritiladi.
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Mathematical Foundations for Deep Learning
Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in artificial intelligence (AI). This guide delves into the fundamental mathematical concepts that power modern deep learning, equipping readers with the tools and knowledge needed to excel in the rapidly evolving field of artificial intelligence. Designed for learners at all levels, from beginners to experts, the book makes mathematical ideas accessible through clear explanations, real-world examples, and targeted exercises. Readers will master core concepts in linear algebra, calculus, and optimization techniques; understand the mechanics of deep learning models; and apply theory to practice using frameworks like TensorFlow and PyTorch. By integrating theory with practical application, Mathematical Foundations for Deep Learning prepares you to navigate the complexities of AI confidently. Whether you are aiming to develop practical skills for AI projects, advance to emerging trends in deep learning, or lay a strong foundation for future studies, this book serves as an indispensable resource for achieving proficiency in the field. Embark on an enlightening journey that fosters critical thinking and continuous learning. Invest in your future with a solid mathematical base, reinforced by case studies and applications that bring theory to life, and gain insights into the future of deep learning.
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Высшая matemaтика для гуманитарных направлений
Кроме систематизированного элементарного изложения теоретического мате риала по каждой теме в качестве примеров решено большое число практических задач и упражнений разного уровня трудности. В конце каждой темы приводится список контрольных вопросов, ответы на которые позволяют учащемуся самостоятельно оценить уровень его теоретической подготовки к данному моменту обучения. Каждая тема завершается заданиями для аудиторной и домашней работы и вариантами индивидуальных домашних заданий.
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Everyday Business english
The books in this series present and practise spoken English and practical writing for everyday communication; they feature key words and expressions which will help you in a wide range of work situations. The target language is introduced through short dialogues and texts, and developed in language notes and practice exercises.
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Налоговое право
Налоговое право Республики Узбекистан представляет собой отрасль правовой системы республики, которая регулирует общественные отношения в сфере налогообложения.
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Oʻzbekcha-nemischа lug'at
Bosh soʻzlarni tanlashda besh jildlik «Oʻzbek tilining izohli lugʻati» asos qilib olingan. Lugʻat keng kitobxonlar ommasi uchun moʻljallangan boʻlib, unda muomaladagi va dolzarb soʻzlarga asosiy eʼtibor qaratilgan.
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LERNEN WIR DEUTSCH! (Fur alle Lernenden und erste Studienjahren)
Ushbu o‘quv qo'llanma xorijiy tillami o‘rganish uchun nofilologik yo‘nalishda tahsil olayotgan talabalaming qiziqish va moyilliklarini hisobga olgan holda ulaming og'zaki nutqini rivojlantirish va so‘z boyligini oshirishda yaqindan yordam berish maqsadida yaratilgan.
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A Beginner’s Guide to Generative AI. An Introductory Path to Diffusion Models, ChatGPT and LLMs
Generative AI has emerged as one of the groundbreaking technologies of the century. This book aims to assist readers in exploring this fascinating domain while equipping you with the necessary background information and recommendations. The book embarks on a long and profound journey, beginning by constructing a clear and strong pictures of the fundamental approaches and concepts that define generative AI. Readers will explore the architectures of some of the most commonly used models, such as Transformers, ChatGPT, and Google Gemini, and learn how these technologies have achieved such impressive results. This book is intended for novice readers, and the basics of working with generative AI do not require any prior training. From this perspective, we will proceed from the most basic concepts to more advanced topics in a sequential and accessible manner. Whether you are a student, a working professional, or simply someone curious about what AI can offers you will find this guide highly valuable.
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Metrologiya, standartizasiyalash va o'zaroalmashish
Uslubiy qo`llanmada metrologiya, standartizasiyalash va oʻzaroalmashish fani mashina va mexanizmlar nazariyasi, materialshunoslik va konstruksion metallar texnologiyasi, materiallar qarshiligi bo`icha ma`lumotlar berilgan.
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Асосҳои алгебраи хаттй
Васоити таълими мазкур мувофики барномаи фанни алгебра ва назарияи ададҳо барои донишчўён ва омўзгорони факултетҳои математика ва донишгоҳҳо ва колечи омўзгорй,