Mastering Azure Machine Learning
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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.
Mastering Azure Machine Learning
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Author : Christoph Korner
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-05-10
Mastering Azure Machine Learning written by Christoph Korner 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 2022-05-10 with Computers categories.
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services Key Features Implement end-to-end machine learning pipelines on Azure Train deep learning models using Azure compute infrastructure Deploy machine learning models using MLOps Book Description Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline. What you will learn Understand the end-to-end ML pipeline Get to grips with the Azure Machine Learning workspace Ingest, analyze, and preprocess datasets for ML using the Azure cloud Train traditional and modern ML techniques efficiently using Azure ML Deploy ML models for batch and real-time scoring Understand model interoperability with ONNX Deploy ML models to FPGAs and Azure IoT Edge Build an automated MLOps pipeline using Azure DevOps Who this book is for This book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended.
Mastering Azure Machine Learning
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Author : Christoph Korner
language : en
Publisher:
Release Date : 2020
Mastering Azure Machine Learning written by Christoph Korner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with 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 Features Make sense of data on the cloud by implementing advanced analytics Train and optimize advanced deep learning models efficiently on Spark using Azure Databricks Deploy 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 ML and takes you through the process of data experimentation, data preparation, and feature engineering using Azure ML 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 AutoML and HyperDrive, and perform distributed training on Azure ML. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure ML, 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 ML and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learn Setup your Azure ML workspace for data experimentation and visualization Perform ETL, data preparation, and feature extraction using Azure best practices Implement advanced feature extraction using NLP and word embeddings Train gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure ML Use hyperparameter tuning and AutoML to optimize your ML models Employ distributed ML on GPU clusters using Horovod in Azure ML Deploy, operate and manage your ML models at scale Automated your end-to-end ML process as CI/CD pipelines for MLOps Who this book is for This machine learning book is for data professionals, data analysts, data enginee...
Mastering Azure Machine Learning
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Author : Bimal Kujur
language : en
Publisher: Independently Published
Release Date : 2025-01-18
Mastering Azure Machine Learning written by Bimal Kujur and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-18 with Computers categories.
"Mastering Azure Machine Learning: From Fundamentals to Deployment" is designed to bridge the gap between foundational ML concepts and the complexities of deploying production-ready systems. While Azure ML's intuitive interface and robust APIs simplify many tasks, mastery of the platform requires an understanding of the underlying concepts, tools, and workflows. This book equips you with the skills and knowledge to navigate every stage of the machine learning lifecycle using Azure ML-from data preparation and model development to deployment, monitoring, and scaling. This book caters to a broad audience: Beginners: Individuals new to machine learning who want a structured guide to mastering Azure ML's features while understanding fundamental ML concepts. Intermediate Practitioners: Those with some experience in ML who wish to deepen their knowledge of Azure ML's advanced capabilities, such as AutoML, distributed training, and pipeline orchestration. Professionals: Industry experts seeking insights into implementing scalable and efficient ML solutions in real-world scenarios. Regardless of your starting point, this book emphasizes practical examples, clear explanations, and actionable insights to accelerate your Azure ML journey. What You Will Learn The book's modular structure ensures a comprehensive learning experience: Foundations: Introduction to Azure ML, its architecture, and core capabilities. Model Development: Hands-on guidance for building and training models, including data preprocessing, experimentation, and hyperparameter tuning. AutoML and Responsible AI: Insights into automation, interpretability, and fairness to ensure ethical and impactful solutions. Advanced Techniques: Distributed training, embedding models, and working with large language models. Deployment: Real-world approaches to deploying, monitoring, and scaling ML systems on Azure. Case Studies and Best Practices: Success stories across industries and actionable best practices for leveraging Azure ML effectively.
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 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 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 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 Microsoft Azure
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Author : Thomas T Haws
language : en
Publisher: Independently Published
Release Date : 2025-06-09
Mastering Microsoft Azure written by Thomas T Haws and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
Cloud computing is no longer optional it's the backbone of modern business, innovation, and IT careers. Mastering Microsoft Azure is your all-in-one blueprint for gaining the practical skills, strategic insight, and professional credentials needed to thrive in the cloud era. Whether you're new to cloud computing or looking to sharpen your Azure expertise, this book delivers real value through hands-on instruction and practical examples. You won't just read about cloud concepts you'll build actual solutions, automate tasks, secure environments, and integrate cutting-edge AI tools using Microsoft Azure's powerful suite of services. What You'll Learn Inside: ✅ Core Azure Concepts Made Simple Clear, beginner-friendly explanations of essential cloud services compute, networking, storage, security, and more presented in a way that connects theory to practice. ✅ Hands-On Labs and Real-World Projects Go beyond the basics with guided exercises and full-scale projects that replicate real business use cases. Practice deploying infrastructure, managing identity, and creating intelligent applications. ✅ AI and Machine Learning in Azure Discover how to leverage Azure Cognitive Services, Azure OpenAI, and Azure Machine Learning to build intelligent apps that drive business value and user engagement. ✅ Step-by-Step Certification Prep Includes up-to-date strategies, study tips, and breakdowns of certification exams such as AZ-900 (Azure Fundamentals), AZ-104 (Administrator), and others so you're prepared and confident on exam day. ✅ Governance, Compliance & Cost Management Understand how to architect scalable, secure, and cost-effective solutions while meeting regulatory standards and best practices. Who This Book Is For: Aspiring cloud professionals preparing for certification IT administrators and developers transitioning to Azure Career changers looking to break into tech with in-demand skills Project managers and consultants seeking cloud fluency Anyone committed to staying ahead in a fast-moving digital world Written in a clear and engaging style, Mastering Microsoft Azure blends technical depth with practical clarity. You'll come away with not only a strong foundation in cloud architecture but also the ability to think critically, build confidently, and contribute meaningfully to cloud projects at any scale. Start mastering Azure today, your future in cloud computing begins here.
Demystifying Ai A Comprehensive Guide To Microsoft Certified Azure Ai Fundamentals
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Author : Mark Duncan
language : en
Publisher: LLZ Publishing
Release Date :
Demystifying Ai A Comprehensive Guide To Microsoft Certified Azure Ai Fundamentals written by Mark Duncan and has been published by LLZ Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
"Unlocking Azure AI" is a comprehensive guide that provides readers with a deep dive into the world of artificial intelligence (AI) on the Microsoft Azure platform. This book serves as a roadmap for individuals looking to explore, understand, and leverage the full potential of Azure AI services to solve real-world problems and drive innovation. With the exponential growth of AI technologies and their increasing integration into various industries and applications, there is a growing demand for professionals who possess the knowledge and skills to develop, deploy, and manage AI solutions on cloud platforms like Azure. "Unlocking Azure AI" addresses this need by offering a structured and accessible approach to learning Azure AI concepts and services. The book begins by introducing readers to the fundamentals of AI, providing a foundational understanding of key concepts such as machine learning, natural language processing, computer vision, and conversational AI. Readers will learn how AI is transforming industries and reshaping the way businesses operate and interact with customers. As readers progress through the book, they will explore the rich ecosystem of Azure AI services offered by Microsoft, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. Each chapter delves into a specific aspect of Azure AI, covering topics such as: Understanding the capabilities and use cases of Azure Cognitive Services, including vision, speech, language, and decision services. Building and training machine learning models using Azure Machine Learning, from data preparation and model development to deployment and management. Developing intelligent chatbots and virtual agents using Azure Bot Services to automate customer support and enhance user experiences. The book provides practical guidance, hands-on examples, and real-world case studies to illustrate how Azure AI services can be applied to solve common business challenges across various industries. Readers will learn how to leverage Azure AI to enhance productivity, drive innovation, and gain competitive advantage in today's digital economy. In addition to technical content, "Unlocking Azure AI" also addresses ethical considerations and implications in AI development and deployment, helping readers understand the importance of responsible AI practices and ensuring fairness, transparency, and accountability in AI systems. Whether you're a developer, data scientist, IT professional, or business leader, "Unlocking Azure AI" is your go-to resource for mastering Azure AI and unlocking the full potential of artificial intelligence on the Microsoft Azure platform. With its comprehensive coverage, practical insights, and actionable advice, this book empowers readers to embark on their Azure AI journey with confidence and competence.