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Qishloq va o‘rmon xo‘jaligi
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Qishloq va o‘rmon xo‘jaligi
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Xalq ta’limi. Pedagogika
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TARBIYAVIY ISHLAR METODIKASI
Oʻzbеkistоn Rеspublikаsining “Tа’lim toʻgʻrisidаgi Qоnuni”gа muvоfiq аmаlgа оshirilаyotgаn islоhоtlаr, ulаrni rеаlizаtsiya qilishgа hаmmа dаvlаt vа ijtimоiy institutlаrni oʻzigа jаlb qildi, Oʻzbеkistоnning hаr bir fuqаrоsini qаmrаb оldi. Oʻzbеkistоn Rеspublikаsidа kеchаyotgаn siyosiy, iqtisоdiy vа ijtimоiy oʻzgаrishlаr jаmiyatning turli jаbhаlаridаgi hаyotgа, jumlаdаn, tа’lim jаbhаsigа hаm, yangichа yondаshuvni tаqоzо qilаdi. Dеmоkrаtik rivоjlаnish yoʻlini tаnlаb оlgаn bizning dаvlаtimizgа hаr tаrаflаmа rivоjlаngаn, kоmpеtеntli, rаqоbаtbаrdоsh shаxslаr kеrаk.
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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.
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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.
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Кечки муддатда такрорий экин ҳолида оқбош карамни етиштиришда ўғитлаш меъёрлари ва суғориш тартиботи бўйича тавсиялар
Тавсияномада ўсимликни ўсиш ва ривожланиш босқичлари бўйича суғориш сони, суғориш меъёри ва мавсумий суғориш меъёрининг кўрсаткичлари баён қилинган.
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Картошка етиштириш технологияси бўйича тавсиянома
Тавсиянома районлаштирилган картошка навларининг қискача таърифи, утмишдош экинлар, угитлаш тартиби, асосий ва экиш олди ерларини тайёрлаш, экиш муддати ва усули, туганакларни экишга тайёрлаш, парваришлаш технологияси, голландия технологияси буйича етиштиришнинг ўзига хос хусусиятлари, йиғиштириш ва картошкани саклаш масалаларига бағишланган.
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Картошка етиштиришнинг интенсив технологияси
Китобда комплекс механизация асосида ҳамда маҳаллий шароитлар ҳисобга олингани ҳолда картошка етиштиришнинг прогрессив технологияси баён этилади.
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Pedagogik mahorat
Ushbu o'quv qo'llanma pedagogik mahoratning nazariy va amaliy jihatlarini o'rgatish .
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САПР ДВИГАТЕЛЕЙ ВНУТРЕННЕГО СГОРАНИЯ
ХХ век стал веком научной революции. В Узбекистане ускорился научно-технический прогресс. Научное значимость продукции динамично увеличивалась. Различные технологии меняли условия и виды производства. К середине ХХ века передовым был фабричный вид производства. Ко 2ой половине ХХ века большое распространение получила автоматизированное производства. Также к концу ХХ века появились высокие технологии и увеличился переход к информационной экономике стран.
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Йилқичилик-чўчқачилик
Маъруза матнларида йилкичиликнинг халк хўжалигидаги ахамияти, вазифалари, ривожланиши ва бошқа маълумотлар берилган.
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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.
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0 ‘ZBEKIST0N TARIXI I kitob
Ushbu darslik ma’lumotlaridan magistrlar, izlanuvchi-tadqiqotchilar, o‘qituvchilar va tarixchi-olimlar ham foydalanishlari mumkin.
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Обучение русскому текстообразованию
В учебном пособии освещаются вопросы структурно-семантического строения текста теории текста основные плоложения текстолингвистики методики развития русской речи студентов на основе текста методы и приемы обучения текстообразованию. Даны задания и упражнения для обучения русской речевой деятельности.
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Инкубация эмбриология асослари билан
Маъруза матнларида Республикада олиб борилаётган иқтисодий ислоҳатларни паррандачиликда ва парранда тухумини инкубациялашдаги ўрни ва аҳамияти ва бошқа маълумотлар берилган. аҳамияти
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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.
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Ona tili -o'qitish savodxonligi va uni o'qitish metodikasi
Ona tili -o'qitish savodxonligi va uni o'qitish metodikasi kurslarining maqsad va vazifalari.