Mastering Azure For Predictive Analytics And Machine Learning

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Mastering Azure For Predictive Analytics And Machine Learning

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Author : KRISHNA KISHOR TIRUPATI SATISH VADLAMANI SHALU JAIN A RENUKA
language : en
Publisher: DeepMisti Publication
Release Date : 2024-10-09

Mastering Azure For Predictive Analytics And Machine Learning written by KRISHNA KISHOR TIRUPATI SATISH VADLAMANI SHALU JAIN A RENUKA and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with Computers categories.

In Today's Data-Driven World, The Ability To Harness The Power Of Predictive Analytics And Machine Learning Has Become A Pivotal Force In Shaping Innovation Across Industries. This Book, Mastering Azure For Predictive Analytics And Machine Learning, Aims To Bridge The Gap Between Cloud Technology And The Analytical Tools Needed To Drive Insights From Complex Data. Our Objective Is To Provide Readers With The Foundational Knowledge And Advanced Techniques Necessary To Leverage Microsoft Azure For Predictive Modeling And Machine Learning Applications. The Structure Of This Book Offers A Comprehensive Exploration Of The Tools, Methodologies, And Best Practices That Define Modern Analytics And Machine Learning In The Cloud. From Setting Up Your Azure Environment To Deploying Machine Learning Models, We Cover Each Stage With Practical Examples And Detailed Guidance. The Content Is Designed For A Broad Audience, Including Students, Data Scientists, It Professionals, And Business Leaders Who Seek To Use Azure’s Capabilities To Make Data-Informed Decisions. Drawing From The Latest Industry Research And Real-World Use Cases, This Book Not Only Provides Theoretical Knowledge But Also Equips Readers With Hands-On Skills They Can Apply In Real-Time Data Projects. Each Chapter Balances Depth With Accessibility, Covering Topics Like Data Preparation, Model Building, And Cloud-Based Deployment, While Also Touching On Critical Issues Such As Scalability, Security, And Automation. Additionally, We Highlight Best Practices For Managing Azure’s Infrastructure And Optimizing Machine Learning Workflows Within The Platform. The Inspiration For This Book Comes From The Recognition Of The Growing Role That Cloud Platforms Like Azure Play In Transforming How Organizations Use Data To Innovate And Compete. We Are Immensely Thankful To Chancellor Shri Shiv Kumar Gupta Of Maharaja Agrasen Himalayan Garhwal University For His Support And Commitment To Academic And Technological Excellence, Which Has Been Instrumental In Making This Book A Reality. We Hope That Mastering Azure For Predictive Analytics And Machine Learning Will Be A Valuable Resource For Anyone Looking To Deepen Their Understanding Of How Cloud Computing And Machine Learning Can Converge To Unlock The Full Potential Of Predictive Analytics. The Knowledge Contained In These Pages Is Intended To Empower Readers To Lead Transformative Data Projects With Confidence. Thank You For Embarking On This Journey With Us. Authors

Mastering Azure Machine Learning

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Author : Christoph Körner
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-04-30

Mastering Azure Machine Learning written by Christoph Körner and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-30 with Computers categories.

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key FeaturesMake sense of data on the cloud by implementing advanced analyticsTrain and optimize advanced deep learning models efficiently on Spark using Azure DatabricksDeploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS)Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline. By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learnSetup your Azure Machine Learning workspace for data experimentation and visualizationPerform ETL, data preparation, and feature extraction using Azure best practicesImplement advanced feature extraction using NLP and word embeddingsTrain gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure Machine LearningUse hyperparameter tuning and Azure Automated Machine Learning to optimize your ML modelsEmploy distributed ML on GPU clusters using Horovod in Azure Machine LearningDeploy, operate and manage your ML models at scaleAutomated your end-to-end ML process as CI/CD pipelines for MLOpsWho this book is for This machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory.

Microsoft Azure Machine Learning

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Author : Sumit Mund
language : en
Publisher:
Release Date : 2015-06-16

Microsoft Azure Machine Learning written by Sumit Mund and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-16 with Computers categories.

The book is intended for those who want to learn how to use Azure Machine Learning. Perhaps you already know a bit about Machine Learning, but have never used ML Studio in Azure; or perhaps you are an absolute newbie. In either case, this book will get you up-and-running quickly.

Microsoft Azure Essentials Azure Machine Learning

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Author : Jeff Barnes
language : en
Publisher: Microsoft Press
Release Date : 2015-04-25

Microsoft Azure Essentials Azure Machine Learning written by Jeff Barnes and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-25 with Computers categories.

Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.

Mastering Azure

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Author : Edwin Cano
language : en
Publisher: Edwin Cano
Release Date : 2024-11-30

Mastering Azure written by Edwin Cano and has been published by Edwin Cano this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-30 with Computers categories.

Cloud computing has reshaped the way businesses operate, innovate, and compete in the modern world. Among the many cloud platforms available, Microsoft Azure stands out as a powerful and flexible solution for enterprises, developers, and IT professionals alike. As organizations continue to migrate their operations to the cloud, Azure has become a central hub for building, deploying, and managing applications, infrastructure, and data services with unmatched scalability, security, and efficiency. This book, Mastering Microsoft Azure: A Comprehensive Guide to Microsoft Azure, is designed to be your roadmap for navigating the complexities of Azure. Whether you're a business leader looking to harness the cloud for operational success, a developer exploring Azure's vast tools for application deployment, or an IT professional aiming to enhance your cloud expertise, this guide will provide the knowledge and practical skills necessary to excel in today’s cloud-driven world. Why Azure? Microsoft Azure is one of the most popular and widely adopted cloud platforms globally, offering over 200 products and services across a broad range of computing needs. From virtual machines and databases to AI, IoT, and machine learning, Azure empowers businesses of all sizes to innovate faster, scale efficiently, and reduce costs. It’s trusted by some of the world’s largest organizations and has earned a reputation for reliability, security, and robust performance. In this book, we will explore Azure from both a technical and strategic perspective, covering everything from foundational concepts to advanced features. Whether you're new to cloud computing or are already familiar with Azure, this book will help you understand how to leverage the platform to solve real-world business challenges, optimize processes, and drive digital transformation. What You Will Learn This guide is structured to provide a comprehensive learning experience. You will gain a deep understanding of the following key topics: Fundamentals of Cloud Computing and Azure – Learn the basics of cloud technology, how Azure fits into the cloud ecosystem, and the fundamental concepts like IaaS, PaaS, and SaaS. Setting Up and Managing Azure Environments – Master the Azure portal, resource management tools, and best practices for managing subscriptions, resource groups, and security. Azure Compute and Networking – Dive into Azure's computing resources, including virtual machines, Azure Kubernetes Service (AKS), and networking services such as virtual networks and load balancing. Storage, Databases, and Analytics – Discover how Azure handles data storage, backups, disaster recovery, and analytics, with an in-depth look at services like Azure SQL, Cosmos DB, and Data Factory. Security, Identity, and Governance – Understand the essential security measures in Azure, including identity management, encryption, access control, and compliance. Automation and DevOps – Learn how to automate tasks and streamline application deployments with tools like Azure DevOps, Logic Apps, and Azure Automation. AI, Machine Learning, and Advanced Services – Explore Azure’s capabilities in artificial intelligence, machine learning, and big data processing, enabling you to unlock the potential of next-generation technologies. Hybrid Cloud and Migration – Understand how to integrate on-premises systems with Azure, create hybrid cloud environments, and execute cloud migration strategies. Optimizing Performance and Costs – Learn how to manage and optimize your Azure environment for performance, cost efficiency, and scalability. Career Development and Certification – Gain insights into pursuing certifications, building a career in cloud computing, and continuous learning in the Azure ecosystem. Who Should Read This Book? This book is aimed at a wide audience, from beginners to advanced users of Azure. It is perfect for: Business decision-makers who want to understand how Azure can help drive digital transformation in their organizations. IT professionals and system administrators looking to improve their skills in managing Azure environments and ensuring seamless cloud operations. Developers interested in deploying, managing, and scaling applications on Azure. Cloud architects seeking to design robust, scalable, and secure cloud solutions. Students and those beginning their cloud computing journey who wish to build a strong foundation in Azure. How to Use This Book Each chapter of this book is designed to be self-contained, meaning you can read it sequentially or jump to specific topics that are most relevant to your needs. For those just starting, it is recommended to begin with the fundamentals and progress through the chapters for a structured learning experience. Advanced users may prefer to skip ahead to more complex topics like Azure DevOps, machine learning, and security best practices. Throughout the book, you'll find step-by-step tutorials, best practices, and real-world use cases that will help you apply the concepts in practical scenarios. At the end of each chapter, you’ll also find a summary and a set of exercises designed to reinforce the concepts learned. Embracing the Cloud Revolution The cloud is no longer just a buzzword—it's a transformative technology that is fundamentally changing how businesses operate. Microsoft Azure offers the tools, resources, and services to help you stay ahead in this cloud-first world. By mastering Azure, you’re not just learning a platform; you’re gaining the skills needed to shape the future of your organization and career. So, whether you are just beginning your Azure journey or looking to deepen your expertise, this book will provide you with the knowledge, tools, and insights necessary to thrive in the cloud era. Let's embark on this exciting journey of mastering Azure and unlocking the full potential of cloud computing for your business and beyond.

Mastering Azure Synapse Analytics Guide To Modern Data Integration

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Author : Sultan Yerbulatov
language : en
Publisher: Litres
Release Date : 2024-06-26

Mastering Azure Synapse Analytics Guide To Modern Data Integration written by Sultan Yerbulatov and has been published by Litres this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Computers categories.

Drawing from my extensive hands-on experience as a data engineer, this book presents a deep exploration of Azure Synapse Analytics through detailed explanations, practical examples, and expert insights. Readers will learn to navigate the complexities of modern data analytics, from data ingestion and transformation to dynamic data masking and compliance reporting.

Mastering Azure Analytics

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Author : Zoiner Tejada
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-04-06

Mastering Azure Analytics written by Zoiner Tejada and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-06 with Computers categories.

Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution. You’ll not only be able to determine which service best fits the job, but also learn how to implement a complete solution that scales, provides human fault tolerance, and supports future needs. Understand the fundamental patterns of the data lake and lambda architecture Recognize the canonical steps in the analytics data pipeline and learn how to use Azure Data Factory to orchestrate them Implement data lakes and lambda architectures, using Azure Data Lake Store, Data Lake Analytics, HDInsight (including Spark), Stream Analytics, SQL Data Warehouse, and Event Hubs Understand where Azure Machine Learning fits into your analytics pipeline Gain experience using these services on real-world data that has real-world problems, with scenarios ranging from aviation to Internet of Things (IoT)

Mastering Enterprise Data Analytics From Sap Hana To Snowflake Integration

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Author : Piyush Bipinkumar Desai Prof Dyuti Banerjee
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-15

Mastering Enterprise Data Analytics From Sap Hana To Snowflake Integration written by Piyush Bipinkumar Desai Prof Dyuti Banerjee and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.

In the age of digital transformation, data has emerged as the lifeblood of enterprises, driving innovation, efficiency, and strategic decision-making. Yet, the sheer volume, variety, and velocity of enterprise data present both an opportunity and a challenge. As businesses strive to harness the full potential of their data, the choice of platforms, tools, and methodologies becomes a critical factor for success. Mastering Enterprise Data Analytics: From SAP HANA to Snowflake Integration is your comprehensive guide to navigating this complex yet rewarding journey. This book is designed for IT professionals, data architects, business analysts, and decision-makers who seek to build robust data ecosystems by bridging traditional enterprise systems with modern cloud-based analytics platforms. Whether you are an experienced SAP HANA user exploring new possibilities with Snowflake or someone starting their journey in enterprise analytics, this book provides the knowledge, strategies, and tools to succeed. Key topics include: • A deep dive into SAP HANA and its role as a foundation for enterprise data management. • An introduction to Snowflake, the cloud-based data platform revolutionizing analytics. • Strategies for integrating SAP HANA with Snowflake to unlock hybrid data architectures. • Practical examples and case studies showcasing real-world implementation scenarios. • Best practices for ensuring data security, compliance, and scalability in enterprise environments. We begin by exploring the evolution of enterprise data platforms and their role in today’s analytics- driven world. As the book progresses, you will learn how to design seamless workflows that leverage the strengths of both SAP HANA and Snowflake, empowering your organization to extract actionable insights from data at unprecedented speed and scale. The ability to adapt and innovate in the face of change defines successful organizations. By mastering enterprise data analytics and embracing the synergy between SAP HANA and Snowflake, you can position your business at the forefront of digital transformation. This book is more than a technical guide—it is a roadmap to redefining how enterprises think about and utilize their data. Welcome to a journey that will enable you to harness the true power of analytics and lead your organization into a future of limitless possibilities. Authors

Mastering Microsoft Azure For Ai A Beginner S Guide

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Author : M.B. Chatfield
language : en
Publisher:
Release Date :

Mastering Microsoft Azure For Ai A Beginner S Guide written by M.B. Chatfield and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Mastering Microsoft Azure for AI: A Beginner's Guide is the definitive guide for anyone who wants to learn how to build and deploy artificial intelligence (AI) solutions on Microsoft Azure. This comprehensive book covers everything you need to know, from the basics of AI to the latest Azure AI services and technologies. Learn the fundamentals of AI Explore Azure AI services and technologies Build and deploy your own AI solutions Whether you're a beginner or an experienced developer, Mastering Microsoft Azure for AI: A Beginner's Guide is the perfect resource for learning how to build and deploy AI solutions on Microsoft Azure. #AI #TechForGood #Future #Technology #Microsoft #Real #World #ResponsibleAI #EthicalAI #TrustworthyAI #AIforSociety #Azure #AIforBeginners #LearnAzure #BuildAIwithAzure #AIdeveloper

Mastering Azure

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-06

Mastering Azure written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-06 with Computers categories.

Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.