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.NET MAUI for C# Developers
This book is targeted at anyone who has a fundamental understanding of C# and wishes to write cross-platform applications. If you are not a C# programmer but have experience with another objectoriented program, you should have no trouble following the examples.
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OpenShift in Action
We think this is important, because the ultimate goal of DevOps is to enable and enhance communication between developer and operations teams that historically have been placed in adversarial (at best) relationships. To accomplish this, the two authors each specialize in one of these roles. For us, writing this book has been an amazing learning experience in how DevOps can work for just about anything, including writing a book.
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Build Your Own Programming Language
This book is structured to guide the reader through the nuanced process of developing a programming language. Beginning with motivations and types of language implementations, Jeffery sets the stage for understanding the fundamental “why” behind language design. He intricately discusses organizing a bytecode language and differentiates between programming languages and libraries, laying a solid foundation for both novices and experienced programmers.
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Low-Level Programming
This book is primarily for those of you beginning your journey in the vast arena of learning and understanding modern Linux kernel architecture and internals, Linux kernel module development and, to some extent, Linux device driver development. It’s also very much targeted at those of you who have already been working on Linux modules and/or drivers, who wish to gain a much deeper, well-structured understanding of Linux kernel architecture, memory management, task scheduling, cgroups, and synchronization.
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Low-Code AI
This book was created as a first step for those who wish to become ML practitioners, not as a book to turn you into an ML expert. We do not cover the theory of ML in detail, nor do we cover all of the topics from statistics and mathematics needed to be a successful data scientist. We cover the theory that is needed for the projects discussed in this book as a way to ease you into working on ML projects, but going farther than that would be beyond the scope here. We do, however, give many references to resources where you can dive deeper if you are interested in doing so.
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Machine Learning Crash Course for Engineers
This book is a crash course, delivering only what engineers need to know about machine learning to apply in their specialized domains. The book focuses more on applications and slightly less on the theory to cater to the needs of people in non-programming majors. The first three chapters are concept-building chapters, where the basics are discussed with relevant programming examples.
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Machine Learning with Python Cookbook
This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.
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Bayesian Optimization in Action
This book teaches Bayesian optimization, starting from its most basic compo-nents—Gaussian process regression and numerical optimization of an acquisition function—to the latest methods for handling large numbers of evaluations (aka obser-vations) and exotic design spaces. Along the way, it covers all the specializations you might need for a given project: constraint handling, multiple objectives, parallelized evaluation, and evaluation via pairwise comparison. You’ll find enough technical depth to make you comfortable with the tools and methods and enough real code to enable you to use those tools and methods for real work very quickly.
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Painless Docker Unlock the Power of Docker and its Ecosystem
This guide doesn’t cover every aspect of Docker, but it does present the most important parts to learn and even master Docker and its rapidly expanding ecosystem. If you come across unfamiliar words or concepts, take your time and conduct your own online research.
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Аxborot texnologiyalari va jarayonlarini matematik modellashtirish
Ushbu o'quv qo'llanma axborot texnologiyalari va jarayonlarni matematik modellashtirish bo‗yicha asosiy tushunchalar, axborot jarayonlarining texnik va dasturiy ta‘minoti, mutaxassislik masalalarini yechishda axborot texnologiyalarini qo‘llash, iqtisodiy-matematik modellashtirish asoslari, shuningdek suv xo‘jaligini tashkil etish va uni boshqarishda matematik modellashtirish usullarini oz ichiga olgan.
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Mobil ilovalar yaratish
O`quv qo'llanmada berilgan har bir bob va mavzular asosida tuzuvchi tomonidan Android Studio dasturida yangi ilovalar yaratish va qayta ishlash haqida tushunchalar, shuningdek Java va XML tilida dasturlari keltirilgan.
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Vatan tarixi
Kitobda O'zbekistonning sovet rejimi sharoitidagi ahvoli, xalqning tortgan zahmatlari, ikkinchi jahon urusbidagi ishtiroki, sovetlar istibdodining kuchayishi va unga qarshi milliy uyg'onisb va uning bosqichlari, istiqlol uchun kurash keng ko'lamdagi, xilma-xil hujjatli manbalar asosida aks ettirilgan.
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O`zbekistonning eng yangi tarixi
Mazkur o‘quv qo‘llanmada 0‘zbekistonning mustaqillikka erishish arafasidagi va mustaqil bo‘lgandan keyingi ijtimoiy-siyosiy jarayonlar yoritilgan.
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Ўрта Осиё гидрографияси
Қўлланмада сув объектларига доир жуда кўп маълумотлар — кузатиш ва ҳисоблаш натижалари келтирилди.
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Klinik dietologiya va nutrisiologiya
Zamonaviy dietologiya va uning asosiy qismi bo'lgan nutritsiologiya kasalliklarni oldini olish, immunbiologik xususiyatlarni oshirishda sog'lom ovqatlanish, shuningdek kasalliklarni klinik shakllari va bosqichlariga xos bo'lgan parhez ovqatlanishga ilmiy yondashgan holda bemorni klinik ko'rsatkichlari asosida dietoterapiya shakllantiriladi
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Qurilish mashinalari
O`quv qo`llanmada sanoat fuqaro va kommunal qurilishida qo`llaniladigan qurilish mashinalarining asosiy turlari ko`rib chiqilgan.