1,729,641 research outputs found
Azure Machine Learning Studio ile Makine Öğrenmesi Uygulamaları
No full textWith the increasing data volume today, various methods and techniques are needed to make data-based decisions. Machine learning, which is a subset of artificial intelligence and has been frequently used for this purpose in recent years, has achieved great success in a wide variety of fields, ranging from education to production, and health to logistics. The ability to learn is the most basic feature of intelligence, and the purpose of machine learning is to try to develop machines that have the same intelligence level as humans. Machine learning is not only a technology but also a field that brings together many disciplines, embraces a wide audience, including students, researchers, and professionals, and has been developing rapidly and carrying us into the future. Another main focus is to investigate the accuracy with which programmed computers and machines produce results. Thus, the theoretical knowledge within this field and the principles of the algorithms to be used in the systems have gradually advanced. The best way to obtain information about a subject is to look at it from all perspectives. For this reason, it is thought to be very important to understand and learn the theory, approaches, problems, algorithms, and assumptions of machine learning.
This book aims to provide a comprehensive guide to readers who want to gain knowledge and application skills in machine learning, especially on how to work with supervised and unsupervised learning algorithms using the powerful capabilities of the Microsoft Azure Machine Learning Studio (classic) Platform. Microsoft Azure Machine Learning Studio (classic) platform helps users in the process of obtaining information from data by providing many conveniences to users in developing cloud-based machine learning applications and distributing them as a web service.
This book will guide researchers working on machine learning in fields such as computer science, engineering, statistics, and social sciences. It will also be a guide for engineers who will develop a certain application with basic methods. The book, which consists of ten chapters including theoretical and empirical studies, aims to eliminate the lack of resources in the Turkish literature about the Microsoft Azure Machine Learning Studio (classic) platform.PublishedBilgisayar sistemlerinin insan benzeri zeka ve yetenekler kazanmasını amaçlayan yapay zeka uygulamaları günümüzde hemen hemen her alanda farklı kullanım şekilleri ile karşımıza çıkmaktadır. Yapay zeka çalışmalarının alt alanlarından birisi olan makine öğrenmesi ise geleneksel programlamaya ihtiyaç duymadan verileri temel alan, belirli görevlere ilişkin performansları geliştirebilen ve yeni veriler üzerinde karar vermek için geçmiş deneyimlerden veya örneklerden öğrenebilen sistem veya modeller oluşturulmasına odaklanmaktadır. Bu nedenle makine öğrenmesi uygulamaları geleneksel programlamadaki kurallar kullanarak verilerden istenen çıktıların elde edilmesinden farklılık göstermektedir.
Bu kitap, makine öğrenmesi konusunda bilgi ve uygulama becerisi kazanmak isteyen okuyuculara, özellikle de Microsoft Azure Machine Learning Studio (classic) Platformunun güçlü yeteneklerini kullanarak denetimli ve denetimsiz öğrenme algoritmalarıyla nasıl çalışabileceklerine dair kapsamlı bir rehber sunmayı amaçlamaktadır. Microsoft Azure Machine Learning Studio (classic) platformu, makine öğrenmesi uygulamalarını bulut tabanlı olarak geliştirilmesi ve web servisi olarak dağıtılması konusunda kullanıcılara birçok kolaylık sağlayarak verilerden bilgi elde edilmesi sürecinde yardımcı olmaktadır. Teorik ve ampirik çalışmaları içeren on bölümünden oluşan kitap ile Microsoft Azure Machine Learning Studio (classic) platformu hakkında Türkçe literatürde bulunan kaynak eksikliğinin giderilmesi hedeflenmektedir
UCL/terraform-azure-stir: v1.0.0
No full text<p>Builds STIR on latest Ubuntu distribution on Azure. STIR has OpenMP and python support enabled.</p>
Design, management and monitoring of Azure-based infrastructure
No full textA felhőszolgáltatások egyre növekvő népszerűsége az üzleti világot egy olyan paradigmaváltás felé indította el, amelyben a vállalkozások a hagyományos infrastrukturális megoldások helyett a skálázhatóságot és rugalmasságot keresik. Az Azure platformja az ilyen jellegű követelményeket kielégítő megoldások széles körét kínálja. Nagyszerű megoldás lehet privát és publikus hálózatok létrehozására, kezelésére és karbantartására, továbbá a hálózati biztonsági protokollok beállítása és menedzselése. Ezen felül említésre méltó a virtuális gépek különböző szintű kialakítása és használata, valamint ezek tartományba léptetése. Az Azure hálózati megoldásai rugalmasan skálázhatók, hogy megfeleljenek a változó üzleti igényeknek. Ez azt jelenti, hogy a vállalatok növekedhetnek anélkül, hogy aggódniuk kellene a hálózatuk bővítése miatt.BSc/BAMérnökinformatiku
The process of migrating web applications to the Microsoft Azure Cloud
No full textThis report delineates the comprehensive migration process of a few web applications to the Microsoft Azure Cloud, a strategic initiative successfully executed. The migration, driven by the need for enhanced scalability, flexibility, availability, security, and cost-effectiveness, aimed to leverage Azure's dynamic infrastructure. Key elements of the process include the selection of Microsoft Azure services, meticulous pre-migration planning, seamless data migration, and the fine-tuning of application configurations.
The selected web application, WordPress Content Management System (CMS), was meticulously chosen for its robust features and widespread usage. Rigorous compatibility assessments were conducted, guiding the adoption of diverse migration strategies, embracing both Platform as a Service (PaaS) and Software as a Service (SaaS) models. The implementation strategies, such as Subdirectory-based Multisite and Subdomains-based Multisite offer nuanced optimization possibilities. Subdomains contribute to organizational structure, which is ideal for complex content frameworks, while subdirectories cater to smaller websites with streamlined content needs. This dual The approach ensures flexibility in performance enhancement, aligning with the specific requirements of the migrated web application.
Testing and optimization phases ensured data integrity, functionality, and overall performance on the Azure platform. Insights gained from Microsoft's use of WordPress on Azure were incorporated, contributing to the robustness of the migration.
This report offers an extensive description of the technical steps involved, the challenges encountered, and the lessons learned during the migration. It acts as a valuable reference for organizations considering a similar transition to Microsoft Azure, offering practical recommendations based on real-world experiences. The successful execution of this migration underscores the strategic advantages of adopting Azure for web application hosting
Aura Azure Anti-Aging #1 Premium Anti-Wrinkle Reduce Wrinkles And Keep Hydrate Your Skin Naturally(Work Or Hoax)
No full textSo, read this article for more information about Aura Azure Anti-Aging Gummies Formula is a complete solution
MS Azure Integration in to a commercial company
No full textCílem práce je seznámení se s platformami cloudových služeb Microsoft Office 365a Microsoft Azure, které následuje analýza aktuálního stavu zvoleného subjektu a vytyčeníCílem práce je seznámení se s platformami cloudových služeb Microsoft Office 365 a Microsoft Azure, které následuje analýza aktuálního stavu zvoleného subjektu a vytýčení bodů optimalizací a změn a jejich následná implementace. Vše především z pohledu efektivityprocesů a zabezpečení. Výstupem práce je definice zásad Azure Policy pro správné řízenízmíněných služeb.Focus of this thesis is to get to know features and functions of Microsoft Office 365and Microsoft Azure platform in commerical environment, which is followed by an analysisof the current state of the selected entity and setting points for optimizations and changesand their subsequent implementation. All from the point of view of process efficiency andsecurity. The output of the work is the definition of Azure Policy for the proper managementof these services
Data integration on Microsoft Azure
No full textBakalaura darba mērķis ir izpētīt pieejamos Azure mākoņvides resursus datu integrācijai, kā arī, salīdzināt izveidotās datu integrācijas diviem scenārijiem - virtuālai datu integrācijai un datu noliktavas datu integrācijai, pēc pieciem laba mākoņrisinājuma dizaina principiem. Mērķa sasniegšanai tika izveidoti divi autora izdomāti scenāriji, abiem datu integrācijas arhitektūras veidiem, kuriem darba autors veidoja datu integrāciju risinājumus izmantojot Azure piedāvātos resursus. Izveidotās datu integrācijas vēlāk tika apskatītas pēc pieciem laba mākoņrisinājuma dizaina principiem. Bakalaura darba beigās autors apkopoja iegūto informāciju gan par Azure piedāvātiem datu integrācijas resursiem, gan arī par datu integrācijas arhitektūrām, un piedāvāja savas rekomendācijas.DATA INTEGRATION USING MICROSOFT AZURE CLOUD SERVICES The aim of the Bachelor thesis is to investigate the available Azure cloud resources for data integration, as well as to compare the created data integration for two scenarios - virtual data integration and data warehouse data integration, according to five Well-Architected Framework pillars. To achieve this goal, two scenarios devised by the author were created for both data integration architectures, where the author created data integration solutions using the resources offered by Azure cloud service. The created data integrations later were analyzed using five Well-Architected Framework pillars. At the end of the bachelor's thesis, the author summarized the information obtained both on the data integration resources offered by Azure and on the data integration architectures, and offered his recommendations
Cloud Security in Action: Integrating Best Practices for Azure Migrations
No full textIn the digital age, cloud computing has become a fundamental component of enterprise architecture, offering enhanced scalability, flexibility, and cost efficiency. However, the migration of critical applications and data to cloud environments, particularly Azure, introduces significant security challenges that organizations must address. This article delves into the essential best practices for ensuring robust cloud security during Azure migrations. We explore the key phases of migration, from pre-migration assessments to post-migration security measures, emphasizing the importance of risk management, compliance, and governance. By integrating advanced security strategies—such as identity and access management, data encryption, and continuous monitoring—organizations can effectively safeguard their assets against emerging threats. Furthermore, this article provides practical insights and real-world case studies to illustrate how organizations have successfully navigated the complexities of Azure migration while maintaining a strong security posture. Ultimately, this guide aims to equip cloud professionals with the knowledge and tools necessary to achieve secure and successful Azure migrations, ensuring the protection of sensitive data in an increasingly cloud-centric world
Accessing Azure: Using Cloud databases from static programming environments
No full textCloud databases generally use a data model different from relational databases. Instead of a fixed structure, the data is organized as collections of key-value pairs. The structure of entities is not enforced by the system; entities are flexible with regard to the properties they have. Many programming languages use static data models, which makes communication between these systems non-trivial. This document describes LINQ-to-Azure, a data access layer between Windows Azure Tables and .NET which enables manipulation and querying (using LINQ) of the data and supports both the flexible model of Azure Tables and the static one of .NET.Software TechnologyElectrical Engineering, Mathematics and Computer Scienc
Unlocking the Power of Azure AD: Best Practices for Enterprise Identity Control
No full textIn today's rapidly evolving digital landscape, managing enterprise identity has become a critical challenge for organizations. Azure Active Directory (Azure AD) offers a robust solution for identity and access management, providing enterprises with advanced tools to safeguard user credentials, manage authentication, and ensure secure access to corporate resources. This paper delves into the best practices for leveraging Azure AD to enhance enterprise identity control. It covers key strategies for optimizing authentication protocols, implementing multi-factor authentication (MFA), and adopting zero-trust principles to minimize security risks. Furthermore, the paper addresses how seamless integration with cloud applications, role-based access control (RBAC), and conditional access policies can streamline access management, foster compliance, and enhance operational efficiency. By following these best practices, organizations can unlock the full potential of Azure AD, empowering them to protect sensitive data, mitigate cyber threats, and ensure a secure digital environment for their users
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