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

Қишлоқ хўжалик ҳайвонларини урчитиш ва кўпайтириш:

Ушбу дарслик Республикамиздаги чорвачилик фани ўқитиладибарча ўрта махсус касб-ҳунар коллеж талабалари, ҳамда қишлоқ хўжалик олийгоҳларидаги фермер тайёрлов курс талабалари учун тасдиқланган дастур асосида ёзилган бўлиб, унда чорва молларини урчитиш ва кўпайтиришга алоқадор бўлган бир қанча масала- лар ўз аксини топган.

AI-assisted Programming for Web and Machine Learning

Software development is entering a new era. What was once the sole domain of human coders is now a collaborative space where artificial intelligence (AI) works alongside us, suggesting improvements, generating code, catching errors, and even optimizing solutions before we run them. When we first explored AI-assisted coding, each of us approached it with a healthy mix of curiosity and skepticism. Could an AI truly understand the complexities and nuances of modern development workflows? We put it to the test, and within days, our initial doubts gave way to excitement.

Artificial Intelligence in Legal Systems. Bridging Law and Technology through AI

This book highlights the expansive applications of AI, ranging from case management to predictive analytics, while also scrutinizing ethical challenges and legal implications. It addresses the pressing issue of data protection in the context of Generative Pre-trained Transformer (GPT) technology, emphasizing the EU’s commitment to individual privacy rights. This book also evaluates AI’s role in public governance, using Albania as a case study, and examines the potential of blockchain technology in enhancing legal processes. The ethical nuances surrounding AI’s integration into legal systems are critically examined, particularly regarding algorithmic bias and human oversight. This book advocates for a collaborative approach involving legal experts and data scientists to navigate these complexities effectively.

Data Pipelines with Apache Airflow. Orchestration for data and AI

Simplify, streamline, and scale your data operations with data pipelines built on Apache Airflow Data Pipelines with Apache Airflow has empowered thousands of data engineers to build more successful data platforms. This new second edition has been fully revised for Airflow 3 with coverage of all the latest features of Apache Airflow, including the Taskflow API, deferrable operators, and Large Language Model integration. Using real-world scenarios and examples, Data Pipelines with Apache Airflow, Second Edition teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack. Part reference and part tutorial, each technique is illustrated with engaging hands-on examples, from training machine learning models for generative AI to optimizing delivery routes.

Deep Learning Generalization. Theoretical Foundations and Practical Strategies

This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data. Key topics include balancing model complexity, addressing overfitting and underfitting, and understanding modern phenomena such as the double descent curve and implicit regularization. The book offers a holistic perspective by addressing the four critical components of model training: data, model architecture, objective functions, and optimization processes. It combines mathematical rigor with hands-on guidance, introducing practical implementation techniques using PyTorch to bridge the gap between theory and real-world applications.

0 ‘ZBEKIST0N TARIXI I kitob

Ushbu darslik ma’lumotlaridan magistrlar, izlanuvchi-tadqiqotchilar, o‘qituvchilar va tarixchi-olimlar ham foydalanishlari mumkin.

Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications

This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biomedical engineering, signal processing, and computer science. Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications explores recent advancements in the use of AI/ML in practical engineering applications by inviting top experts to share the outcomes of their most recent work. Among the topics explored are detection, measurement, and monitoring of signals (biosensors and biomedical devices) and the use of diagnostic interpretations of bioelectric data using signal-processing techniques. The authors also address several machine learning tasks, such as classification (supervised learning) and clustering (unsupervised learning), in the context of engineering. Finally, the book also describes the development of new biomaterials for use in the body. The book will be a great help to researchers and academics working in the fields of biomedical signaling and/or human-machine interface.

Clawdbot Openclaw The Local First AI Agent Handbook. Build, Host, and Secure Your Own Private AI Assistant

Are you tired of sending your private data, code snippets, and personal schedules to third-party clouds? Do you want an AI agent that lives on your hardware, obeys your rules, and works even when the internet is spotty? Clawdbot (Openclaw) is the definitive guide to breaking free from the API rental cycle. This handbook teaches you how to deploy a self-hosted, privacy-first AI agent on a Mac Mini, Raspberry Pi, or private VPS. Written by Tamer Ahmed (Temotec Academy), this guide bridges the gap between raw LLM intelligence and real-world action. You aren't just building a chatbot; you are building a digital employee that lives in your file system.

KOMPYUTERLI LOYIHALASH

Xаlqаrо rаqоbаt, tаjribаli mutаxаssislаr sоnining tоbоra оrtib bоrishi vа sifаtgа qo‘yilаdigаn tаlаblаrning оrtishi kоrxоnаlаr rаhbаrlаrini lоyihаlаsh vа ishlаb chiqаrishni аvtоmаtlаshtirishgа mаjbur qilmоqdа. Buning natijasida texnikaviy оliy ta’lim muassasalarining professoro‘qituvchilari lоyihаlаshgа tааlluqli bo‘lgаn o‘quv fаnlаri dаsturlаrining mazmunini zamonaviylashtirishga bo‘lgan ehtiyojni sеzishmоqdа.

Data Contracts. Developing Production-Grade Pipelines at Scale

Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams still struggle to avoid these issues—especially when their data is sourced from upstream workflows outside of their control. The solution: data contracts. Data contracts enable high-quality, well-governed data assets by documenting expectations of the data, establishing ownership of data assets, and then automatically enforcing these constraints within the CI/CD workflow.

The Score. How to Stop Playing Somebody Else’s Game

Games are the most important art form of our era. They embody the spirit of free play. They show us the subtle beauty of action everywhere in life in video games, sports, & boardgames—but also cooking, gardening, fly-fishing, & running. They remind us that it isn’t always about outcomes, but about how glorious it feels to be doing the thing. And the scoring systems help get us there, by giving us new goals to try on. Scoring systems are also at the center of our corporations and bureaucracies—in the form of metrics & rankings. They tell us exactly how to measure our success. They encourage us to outsource our values to an external authority. And they push on us to value simple, countable things. Metrics don’t capture what really matters; they only capture what’s easy to measure. The price of that clarity is our independence.

Agentic AI Data Architectures. How Distributed SQL Unifies Enterprise Scale and AI-Native Application Design

As AI systems evolve from stateless prompts to autonomous, context-aware agents, enterprise infrastructure is being tested in new ways. The challenge isn't just in compute—it's in memory. Intelligent systems now need to retrieve, recall, and reason over vast, interrelated data while maintaining speed, consistency, and explainability. Agentic AI Data Architectures explores how distributed SQL is redefining the data layer for this new era, offering a unified approach to structured, semantic, and temporal retrieval at scale. +

Монтаж металлических и железобетонных конструкций

Рассмотрены технико-экономические показатели монтажных работ.

Кимёвий технология асосий жараён ва қурилмалари

Дарсликда кимёвий технология асосий жараёнлари, уларнинг назарияси, типик қурилмалар конструкциялари ва ишлаш принциплари ҳамда уларни ҳисоблаш услублари баён этилган.

Оборудование сборочных цехов обувных фабрик

Рассмотрено основное оборудование, применяемое в сборочных цехах обувных фабрик для формования верха обуви, крепления подошв и отделки обуви. Изложены принципы работы машин, конструкции и взаимодействие механизмов, их регулировка и наладка.

Оборудование заготовочных цехов обувных фабрик

В книге описано основное технологическое и транспортирующее оборудование заготовочных цехов обувных фабрик, описаны конструкция и работа основных механизмов, их взаимодействие и наладка. Рассмотрены причины неполадок машин и и способы их устранения, даны сведения по эксплуатации оборудования и технике безопасности.