Стратегическое планирование и прогнозирование: учебник для вузов
Soft Computing Applications for Advancements in Power Systems
Теория вероятностей и математическая статистика (2024)
Mastering C++ Design Patterns: Create Efficient and Scalable Code
The Army that Never Was: George S. Patton and the Deception of Operation Fortitude
We Dared to Fly: Dangerous Secret Missions During the Vietnam War
Introducing C++ (Early Release)
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications
Learning Modern C++ for Finance: Foundations for Quantitative Programming (Final Release)
Cluster Analysis: A Primer Using R
Corpus [roman]. Сборник (134 книги)
JavaScript Mastery in 100 Days
Художественная открытка русского модерна
Рецессия капитализма — скрытые причины. Realeconomik
Красная книга РСФСР (растения)
Математический дивертисмент. 30 лекций по классической математике
Стратегическое планирование и прогнозирование: учебник для вузов
Soft Computing Applications for Advancements in Power Systems
Теория вероятностей и математическая статистика (2024)
Mastering C++ Design Patterns: Create Efficient and Scalable Code
The Army that Never Was: George S. Patton and the Deception of Operation Fortitude
We Dared to Fly: Dangerous Secret Missions During the Vietnam War
Introducing C++ (Early Release)
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications
Learning Modern C++ for Finance: Foundations for Quantitative Programming (Final Release)
Cluster Analysis: A Primer Using R
Corpus [roman]. Сборник (134 книги)
JavaScript Mastery in 100 Days
Художественная открытка русского модерна
Рецессия капитализма — скрытые причины. Realeconomik
Красная книга РСФСР (растения)
Математический дивертисмент. 30 лекций по классической математике
Название: Inside Cyber Warfare: Mapping the Cyber Underworld, 3rd Edition
Автор: Jeffrey Caruso
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 161
Язык: английский
Формат: True/Retail PDF, True EPUB
Размер: 58.7 MB, 12.4 MB
Get a fascinating and disturbing look into how state and nonstate actors throughout the world use cyber attacks to gain military, political, and economic advantages. In the third edition of this book, cyber warfare researcher Jeffrey Caruso explores the latest advances in cyber espionage and warfare that have emerged on the battlefields of Ukraine and the Middle East, including cyber attacks that result in the physical destruction of the target and the pairing of cognitive with maneuver warfare.
Автор: Jeffrey Caruso
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 161
Язык: английский
Формат: True/Retail PDF, True EPUB
Размер: 58.7 MB, 12.4 MB
Get a fascinating and disturbing look into how state and nonstate actors throughout the world use cyber attacks to gain military, political, and economic advantages. In the third edition of this book, cyber warfare researcher Jeffrey Caruso explores the latest advances in cyber espionage and warfare that have emerged on the battlefields of Ukraine and the Middle East, including cyber attacks that result in the physical destruction of the target and the pairing of cognitive with maneuver warfare.
Название: Бэровские бугры Нижнего Поволжья
Автор: А.А. Свиточ, Т.С. Клювиткина
Издательство: МГУ
Год издания: 2006
Количество страниц: 162
Язык: русский
Формат: DjVu
Размер: 23,23 Мб
Монография посвящена изучению строения и происхождения бэровских бугров Нижнего Поволжья. В ее основу положены многолетние полевые и камеральные наработки авторов и критический анализ многочисленных литературных и фондовых материалов. Работа состоит из 2 разделов. В первом изложены фактологические данные по составу, строению и структуре бэровских бугров и результаты их комплексного анализа (морфологического, гранулометрического, минералогического, текстурного и микротекстурного, абсолютного возраста, палеомагнетизма, фаунистического). Во втором разделе дан критический обзор представлений по вопросу происхождения бугров, предложены критерии их оценки, рассмотрены возможные причины формирования, изложена гипотеза стадиально-прибрежного морского происхождения бугров, по которой они образовались за несколько этапов в крайне непродолжительный срок во время позднехвалынской трансгрессии на мелководьях Каспия под влиянием крупных нагонов и встречных водных потоков речных дельт.
Для географов, палеогеографов, геологов-четвертичников и всех лиц, интересующихся историей развития Нижнего Поволжья, Каспийского моря и загадочным происхождением бэровских бугров.
Название: Reinforcement Learning for Finance: A Python-Based Introduction (Final Release)
Автор: Yves Hilpisch
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 215
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 20.3 MB
Reinforcement Learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods have gained popularity in publications related to financial research. This book is among the first to explore the use of Reinforcement Learning methods in finance. One of the key algorithms in RL is deep Q-learning (DQL) that can be applied to a large number of dynamic decision problems. Popular examples are arcade games and board games, such as Go, in which RL and DQL algorithms have achieved superhuman performance in many instances. This has often happened despite the belief of experts that such feats would be impossible for decades to come. This book closes the gap in that it provides the required background in a concise fashion and otherwise focuses on the implementation of the algorithms in the form of self-contained Python code and the application to important financial problems. This book is intended as a concise, Python-based introduction to the major ideas and elements of RL and DQL as applied to finance. It should be useful to both students and academics as well as to practitioners in search of alternatives to existing financial theories and algorithms. The book expects basic knowledge of the Python programming language, object-oriented programming, and the major Python packages used in Data Science and Machine Learning, such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow.
Автор: Yves Hilpisch
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 215
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 20.3 MB
Reinforcement Learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods have gained popularity in publications related to financial research. This book is among the first to explore the use of Reinforcement Learning methods in finance. One of the key algorithms in RL is deep Q-learning (DQL) that can be applied to a large number of dynamic decision problems. Popular examples are arcade games and board games, such as Go, in which RL and DQL algorithms have achieved superhuman performance in many instances. This has often happened despite the belief of experts that such feats would be impossible for decades to come. This book closes the gap in that it provides the required background in a concise fashion and otherwise focuses on the implementation of the algorithms in the form of self-contained Python code and the application to important financial problems. This book is intended as a concise, Python-based introduction to the major ideas and elements of RL and DQL as applied to finance. It should be useful to both students and academics as well as to practitioners in search of alternatives to existing financial theories and algorithms. The book expects basic knowledge of the Python programming language, object-oriented programming, and the major Python packages used in Data Science and Machine Learning, such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow.
Название: LLMs and Generative AI for Healthcare: The Next Frontier
Автор: Kerrie Holley, Manish Mathur
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 222
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 55.5 MB
Large language models (LLMs) and Generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and Generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. LLMs are natural language processing (NLP) Machine Learning models that can seemingly understand and generate human language text. LLMs are a type of Artificial Intelligence (AI) that comprehends and manipulates human language with remarkable proficiency. They are called “large” because they are trained on vast amounts of text data, often billions of words, which enables them to learn the nuances of human language. Generative AI is a subset or type of AI, just as LLMs and Machine Learning are types of AI. Generative AI is focused on creating new content such as text, images, video, or audio often in response to a user’s questions. The generated outputs often resemble human created content in terms of style and structure. When we use phrases such as LLMs or Generative AI in this book, we do so as catch-all terms that encompass a wide range of AI systems, even if they have different attributes or employ different Machine Learning algorithms. These catch-all terms include but are not limited to LLMs, small language models, multimodal models, and Generative AI.
Автор: Kerrie Holley, Manish Mathur
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 222
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 55.5 MB
Large language models (LLMs) and Generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and Generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. LLMs are natural language processing (NLP) Machine Learning models that can seemingly understand and generate human language text. LLMs are a type of Artificial Intelligence (AI) that comprehends and manipulates human language with remarkable proficiency. They are called “large” because they are trained on vast amounts of text data, often billions of words, which enables them to learn the nuances of human language. Generative AI is a subset or type of AI, just as LLMs and Machine Learning are types of AI. Generative AI is focused on creating new content such as text, images, video, or audio often in response to a user’s questions. The generated outputs often resemble human created content in terms of style and structure. When we use phrases such as LLMs or Generative AI in this book, we do so as catch-all terms that encompass a wide range of AI systems, even if they have different attributes or employ different Machine Learning algorithms. These catch-all terms include but are not limited to LLMs, small language models, multimodal models, and Generative AI.
Название: Задачник-практикум по элементарной алгебре
Автор: Л.М. Фридман, А.А. Виноградова, И.С. Есипова, И.С. Панин
Издательство: Учпедгиз
Год издания: 1962
Количество страниц: 116
Язык: русский
Формат: DJVU, PDF
Размер: 10,23 Мб
Учебное пособие.
Настоящий задачник-практикум предназначен для студентов-заочников математических отделений физико-математических факультетов педагогических институтов.
Основная цель, которую ставили перед собой авторы данного задачника-практикума, - помочь студентам-заочникам приобрести прочные знания и навыки в решении задач элементарной алгебры, причем не только школьных (т.е. таких задач, которые встречаются в принятых в настоящее время задачниках по алгебре для средней школы), но и более сложных, предусмотренных программой курса элементарной алгебры для педагогических институтов.
Название: Сила, таящаяся в ваших глазах. Улучшение зрения с помощью Интегрированной терапии
Автор: Каплан Р-М.
Издательство: «ВЕСЬ»
Год: 2011
Формат: pdf
Страниц: 174
Размер: 14,6 Мб
Язык: русский
Доктор Каплан, специалист в области офтальмологии и тибетской медицины, предлагает новую систему по улучшению зрения. Автор комбинирует современные методы со стандартными методами диагностики и лечения. Как утверждает доктор Каплан, такие инновационные методики, как лечение светом и цветом, творческая визуализация, акупрессура, необходимо сочетать с определенной системой питания, дыхательными упражнениями и упражнениями для глаз.
Автор: Каплан Р-М.
Издательство: «ВЕСЬ»
Год: 2011
Формат: pdf
Страниц: 174
Размер: 14,6 Мб
Язык: русский
Доктор Каплан, специалист в области офтальмологии и тибетской медицины, предлагает новую систему по улучшению зрения. Автор комбинирует современные методы со стандартными методами диагностики и лечения. Как утверждает доктор Каплан, такие инновационные методики, как лечение светом и цветом, творческая визуализация, акупрессура, необходимо сочетать с определенной системой питания, дыхательными упражнениями и упражнениями для глаз.
Название: Hands-On Large Language Models: Language Understanding and Generation (Final Release)
Автор: Jay Alammar, Maarten Grootendorst
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 428
Язык: английский
Формат: True/Retail PDF, True EPUB
Размер: 18.4 MB, 20.4 MB
AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in Deep Learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today. You'll learn how to use the power of pre-trained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large amounts of text documents; and use existing libraries and pre-trained models for text classification, search, and clusterings. Large language models (LLMs) have had a profound and far-reaching impact on the world. By enabling machines to better understand and generate human-like language, LLMs have opened new possibilities in the field of AI and impacted entire industries. This book provides a comprehensive and highly visual introduction to the world of LLMs, covering both the conceptual foundations and practical applications. This book assumes that you have some experience programming in Python and are familiar with the fundamentals of Machine Learning. The focus will be on building a strong intuition rather than deriving mathematical equations. As such, illustrations combined with hands-on examples will drive the examples and learning through this book. This book assumes no prior knowledge of popular Deep Learning frameworks such as PyTorch or TensorFlow nor any prior knowledge of generative modeling.
Автор: Jay Alammar, Maarten Grootendorst
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 428
Язык: английский
Формат: True/Retail PDF, True EPUB
Размер: 18.4 MB, 20.4 MB
AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in Deep Learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today. You'll learn how to use the power of pre-trained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large amounts of text documents; and use existing libraries and pre-trained models for text classification, search, and clusterings. Large language models (LLMs) have had a profound and far-reaching impact on the world. By enabling machines to better understand and generate human-like language, LLMs have opened new possibilities in the field of AI and impacted entire industries. This book provides a comprehensive and highly visual introduction to the world of LLMs, covering both the conceptual foundations and practical applications. This book assumes that you have some experience programming in Python and are familiar with the fundamentals of Machine Learning. The focus will be on building a strong intuition rather than deriving mathematical equations. As such, illustrations combined with hands-on examples will drive the examples and learning through this book. This book assumes no prior knowledge of popular Deep Learning frameworks such as PyTorch or TensorFlow nor any prior knowledge of generative modeling.
Название: Основы локальных компьютерных сетей
Автор: Сергеев А. Н.
Издательство: Лань
Год: 2021 - 3-е изд.
Cтраниц: 184
Формат: pdf (ocr)
Размер: 24 мб
Язык: русский
В учебном пособии рассматриваются теоретические основы и технологии построения локальных компьютерных сетей. Излагаются вопросы базовых понятий, моделей и способов построения компьютерных сетей, организации стека протоколов TCP/IP (IPv4 и IPv6), создания серверов общего доступа и служб для IP-сетей (DNS, электронная почта, веб и др.). Отдельное внимание уделяется вопросам организации локальных сетей на Windows (рабочая группа и домен), физического построения кабельных и беспроводных локальных сетей.
Автор: Сергеев А. Н.
Издательство: Лань
Год: 2021 - 3-е изд.
Cтраниц: 184
Формат: pdf (ocr)
Размер: 24 мб
Язык: русский
В учебном пособии рассматриваются теоретические основы и технологии построения локальных компьютерных сетей. Излагаются вопросы базовых понятий, моделей и способов построения компьютерных сетей, организации стека протоколов TCP/IP (IPv4 и IPv6), создания серверов общего доступа и служб для IP-сетей (DNS, электронная почта, веб и др.). Отдельное внимание уделяется вопросам организации локальных сетей на Windows (рабочая группа и домен), физического построения кабельных и беспроводных локальных сетей.
Название: Производственный контроль в молочной промышленности
Автор: Меркулова Н.Г., Меркулов М.Ю., Меркулов И.Ю.
Издательство: CПб: Пpoфecсия
Год: 2010
Cтраниц: 656
Формат: pdf
Размер: 25 мб
Язык: русский
В данной книге подробно рассмотрен весь спектр вопросов работы лаборатории современного предприятия молочной промышленности. Большое внимание уделено вопросам организации работы лаборатории, управления ее деятельностью. Даны рекомендации по выбору оборудования, указаны методы производственного контроля, применяемые в молочной промышленности.
Автор: Меркулова Н.Г., Меркулов М.Ю., Меркулов И.Ю.
Издательство: CПб: Пpoфecсия
Год: 2010
Cтраниц: 656
Формат: pdf
Размер: 25 мб
Язык: русский
В данной книге подробно рассмотрен весь спектр вопросов работы лаборатории современного предприятия молочной промышленности. Большое внимание уделено вопросам организации работы лаборатории, управления ее деятельностью. Даны рекомендации по выбору оборудования, указаны методы производственного контроля, применяемые в молочной промышленности.