AZURE AI Data Scientists Associate DP - 100 PDF Download
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Author: Manish Soni
Publisher:
ISBN:
Category : Study Aids
Languages : en
Pages : 92
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Book Description
This certification, AZURE AI Data Scientists Associate DP-100, is meticulously crafted to validate your proficiency in key AI and machine learning concepts within the Azure environment. Whether you are a seasoned data professional seeking to expand your skill set or an aspiring data scientist eager to enter the field, this program equips you with the expertise needed to design and implement intelligent solutions. What You Will Learn: This certification covers a diverse range of topics, including data preparation, model training, model deployment, and the implementation of machine learning workloads on Azure. The curriculum is designed to provide a comprehensive understanding of Azure Machine Learning, Azure Cognitive Services, and related tools that are integral to building AI-driven solutions.
Author: Andreas Botsikas
Publisher: Packt Publishing Ltd
ISBN: 1800561261
Category : Computers
Languages : en
Pages : 448
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Book Description
Develop the skills you need to run machine learning workloads in Azure and pass the DP-100 exam with ease Key FeaturesCreate end-to-end machine learning training pipelines, with or without codeTrack experiment progress using the cloud-based MLflow-compatible process of Azure ML servicesOperationalize your machine learning models by creating batch and real-time endpointsBook Description The Azure Data Scientist Associate Certification Guide helps you acquire practical knowledge for machine learning experimentation on Azure. It covers everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate. Starting with an introduction to data science, you'll learn the terminology that will be used throughout the book and then move on to the Azure Machine Learning (Azure ML) workspace. You'll discover the studio interface and manage various components, such as data stores and compute clusters. Next, the book focuses on no-code and low-code experimentation, and shows you how to use the Automated ML wizard to locate and deploy optimal models for your dataset. You'll also learn how to run end-to-end data science experiments using the designer provided in Azure ML Studio. You'll then explore the Azure ML Software Development Kit (SDK) for Python and advance to creating experiments and publishing models using code. The book also guides you in optimizing your model's hyperparameters using Hyperdrive before demonstrating how to use responsible AI tools to interpret and debug your models. Once you have a trained model, you'll learn to operationalize it for batch or real-time inferences and monitor it in production. By the end of this Azure certification study guide, you'll have gained the knowledge and the practical skills required to pass the DP-100 exam. What you will learnCreate a working environment for data science workloads on AzureRun data experiments using Azure Machine Learning servicesCreate training and inference pipelines using the designer or codeDiscover the best model for your dataset using Automated MLUse hyperparameter tuning to optimize trained modelsDeploy, use, and monitor models in productionInterpret the predictions of a trained modelWho this book is for This book is for developers who want to infuse their applications with AI capabilities and data scientists looking to scale their machine learning experiments in the Azure cloud. Basic knowledge of Python is needed to follow the code samples used in the book. Some experience in training machine learning models in Python using common frameworks like scikit-learn will help you understand the content more easily.
Author: Manish Soni
Publisher:
ISBN:
Category : Study Aids
Languages : en
Pages : 92
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Book Description
This certification, AZURE AI Data Scientists Associate DP-100, is meticulously crafted to validate your proficiency in key AI and machine learning concepts within the Azure environment. Whether you are a seasoned data professional seeking to expand your skill set or an aspiring data scientist eager to enter the field, this program equips you with the expertise needed to design and implement intelligent solutions. What You Will Learn: This certification covers a diverse range of topics, including data preparation, model training, model deployment, and the implementation of machine learning workloads on Azure. The curriculum is designed to provide a comprehensive understanding of Azure Machine Learning, Azure Cognitive Services, and related tools that are integral to building AI-driven solutions.
Author: Cybellium
Publisher: Cybellium Ltd
ISBN: 1836798326
Category : Study Aids
Languages : en
Pages : 229
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Book Description
Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Author: Rajib Kumar De
Publisher: Orange Education Pvt Ltd
ISBN: 8197256225
Category : Computers
Languages : en
Pages : 380
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Book Description
TAGLINE Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning KEY FEATURES ● Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept. ● Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification. ● Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience. DESCRIPTION Ultimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes. The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career. WHAT WILL YOU LEARN ● Design and prepare effective machine learning solutions in Microsoft Azure. ● Learn to develop complete machine learning training pipelines, with or without code. ● Explore data, train models, and validate ML pipelines efficiently. ● Deploy, manage, and optimize machine learning models in Azure. ● Utilize Azure's suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio. ● Apply real-world data science techniques to business problems. ● Confidently tackle DP-100 certification exam questions and scenarios. WHO IS THIS BOOK FOR? This book is for aspiring Data Scientists, IT Professionals, Developers, Data Analysts, Students, and Business Professionals aiming to Master Azure Data Science. Prior knowledge of basic Data Science concepts and programming, particularly in Python, will be beneficial for making the most of this comprehensive guide. TABLE OF CONTENTS 1. Introduction to Data Science and Azure 2. Setting Up Your Azure Environment 3. Data Ingestion and Storage in Azure 4. Data Transformation and Cleaning 5. Introduction to Machine Learning 6. Azure Machine Learning Studio 7. Model Deployment and Monitoring 8. Embracing AI Revolution Azure 9. Responsible AI and Ethics 10. Big Data Analytics with Azure 11. Real-World Applications and Case Studies 12. Conclusion and Next Steps Index
Author: Pierstefano Tucci
Publisher: Microsoft Press
ISBN: 9780136871798
Category : Computers
Languages : en
Pages : 240
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Book Description
Prepare for Microsoft Exam DP-100-and help demonstrate your real-world mastery of the various data science components of Microsoft Azure. Designed for IT professionals, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Set up an Azure Machine Learning workspace Run experiments and train models Optimize and manage models Deploy and consume models This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a business user, IT professional, or student interested in cloud computing and technologies, including individuals planning to pursue more advanced Microsoft 365 certification About the Exam Exam DP-100 focuses on knowledge needed to apply scientific rigor and data exploration techniques to gain actionable insights and communicate results to stakeholders; use machine learning techniques to train, evaluate, and deploy models to build AI solutions that satisfy business objectives; use applications that involve natural language processing, speech, computer vision, and predictive analytics. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Scientist Associate credential, demonstrating that you understand how to implement and run machine learning workloads on Microsoft Azure; in particular, using Azure Machine Learning Service. See full details at: www.microsoft.com/learn
Author: Ger Arevalo
Publisher: Ger Areva;p
ISBN:
Category : Computers
Languages : en
Pages : 12
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Book Description
This book is designed to be an ancillary to the classes, labs, and hands on practice that you have diligently worked on in preparing to obtain your DP-100 Azure Data Scientist Associate or AI-100 Azure AI Engineer Associate certifications. I won’t bother talking about the benefits of certifications. This book tries to reinforce the knowledge that you have gained in your process of studying. It is meant as one of the end steps in your preparation for the DP-100 or AI-100 exams. This book is short, but It will give you a good gauge of your readiness. Learning can be seen in 4 stages: 1. Unconscious Incompetence 2. Conscious Incompetence 3. Conscious Competence 4. Unconscious Competence This book will assume the reader has already gone through the needed classes, labs, and practice. It is meant to take the reader from stage 2, Conscious Incompetence, to stage 3 Conscious Competence. At stage 3, you should be ready to take the exam. Only real-world scenarios and work experience will take you to stage 4, Unconscious Competence. Before we get started, we all have doubts when preparing to take an exam. What is your reason and purpose for taking this exam? Remember your reason and purpose when you have some doubts. Obstacle is the way. Control your mind, attitude, and you can control the situation. Persistence leads to confidence. Confidence erases doubts.
Author: Ger Arevalo
Publisher: Ger Arevalo
ISBN:
Category : Computers
Languages : en
Pages : 16
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Book Description
This book is designed to be an ancillary to the classes, labs, and hands on practice that you have diligently worked on in preparing to obtain your DP-100: Azure Data Scientist Associate certification. I won’t bother talking about the benefits of certifications. This book tries to reinforce the knowledge that you have gained in your process of studying. It is meant as one of the end steps in your preparation for the DP-100 exam. This book is short, but It will give you a good gauge of your readiness. Learning can be seen in 4 stages: 1. Unconscious Incompetence 2. Conscious Incompetence 3. Conscious Competence 4. Unconscious Competence This book will assume the reader has already gone through the needed classes, labs, and practice. It is meant to take the reader from stage 2, Conscious Incompetence, to stage 3 Conscious Competence. At stage 3, you should be ready to take the exam. Only real-world scenarios and work experience will take you to stage 4, Unconscious Competence. Before we get started, we all have doubts when preparing to take an exam. What is your reason and purpose for taking this exam? Remember your reason and purpose when you have some doubts. Obstacle is the way. Control your mind, attitude, and you can control the situation. Persistence leads to confidence. Confidence erases doubts.
Author: Manish Soni
Publisher:
ISBN:
Category : Study Aids
Languages : en
Pages : 121
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Book Description
This book is designed to be your companion on the journey to mastering Microsoft Azure. Whether you are an IT professional looking to expand your cloud expertise, a developer seeking to leverage Azure's capabilities for your applications, or a business decision-maker aiming to understand the strategic advantages of Azure, this comprehensive guide has something to offer you. What You'll Find in This Book Our aim is to provide you with a holistic understanding of Microsoft Azure, from the fundamental concepts to advanced topics and best practices. We have organized this book into distinct parts and chapters, each focusing on a specific aspect of Azure. Here's a brief overview of what you can expect: Part I: Introduction to Microsoft Azure introduces you to the world of Azure, explaining cloud computing concepts and guiding you through the setup process. Part II: Azure Core Services delves into the foundational services that make Azure a powerful cloud platform, including virtual machines, storage, and identity management. Part III: Azure Solutions explores specialized Azure offerings such as App Services, databases, and networking, helping you build and deploy various types of solutions. Part IV: Advanced Azure Topics takes you to the next level with discussions on topics like DevOps, security, and hybrid cloud scenarios. Part V: Azure Best Practices and Case Studies provides valuable insights and real-world examples to help you optimize your Azure deployments. Part VI: Appendix and Additional Resources includes practical references, glossary terms, and resources to further your Azure knowledge. And we can also provide a useful questions & answers for doing a Microsoft Azure certificate. It is very useful to us and all the Microsoft azure certification sample questions are provided in this book. All the questions are covered in all the chapters related to the topics
Author: Dennis Michael Sawyers
Publisher: Packt Publishing Ltd
ISBN: 1800561970
Category : Computers
Languages : en
Pages : 340
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Book Description
A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming language Key FeaturesCreate, deploy, productionalize, and scale automated machine learning solutions on Microsoft AzureImprove the accuracy of your ML models through automatic data featurization and model trainingIncrease productivity in your organization by using artificial intelligence to solve common problemsBook Description Automated Machine Learning with Microsoft Azure will teach you how to build high-performing, accurate machine learning models in record time. It will equip you with the knowledge and skills to easily harness the power of artificial intelligence and increase the productivity and profitability of your business. Guided user interfaces (GUIs) enable both novices and seasoned data scientists to easily train and deploy machine learning solutions to production. Using a careful, step-by-step approach, this book will teach you how to use Azure AutoML with a GUI as well as the AzureML Python software development kit (SDK). First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS). Finally, you will be able to use AutoML on your own data to not only train regression, classification, and forecasting models but also use them to solve a wide variety of business problems. By the end of this Azure book, you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs, earning their trust and respect. What you will learnUnderstand how to train classification, regression, and forecasting ML algorithms with Azure AutoMLPrepare data for Azure AutoML to ensure smooth model training and deploymentAdjust AutoML configuration settings to make your models as accurate as possibleDetermine when to use a batch-scoring solution versus a real-time scoring solutionProductionalize your AutoML and discover how to quickly deliver valueCreate real-time scoring solutions with AutoML and Azure Kubernetes ServiceTrain a large number of AutoML models at once using the AzureML Python SDKWho this book is for Data scientists, aspiring data scientists, machine learning engineers, or anyone interested in applying artificial intelligence or machine learning in their business will find this machine learning book useful. You need to have beginner-level knowledge of artificial intelligence and a technical background in computer science, statistics, or information technology before getting started. Familiarity with Python will help you implement the more advanced features found in the chapters, but even data analysts and SQL experts will be able to train ML models after finishing this book.
Author: Manish Soni
Publisher:
ISBN:
Category : Study Aids
Languages : en
Pages : 88
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Book Description
Welcome to the world of Azure AI Engineering! As technology continues to advance at an unprecedented pace, the demand for skilled professionals capable of harnessing the power of artificial intelligence in the cloud has never been higher. The Azure AI Engineer Associate certification, coded as AI-102, is a testament to your commitment to mastering the cutting-edge technologies that drive the transformation of industries and shape the future of computing. About Azure AI Engineer Associate Certification (AI-102): The AI-102 certification is designed by Microsoft to validate your expertise in designing and implementing artificial intelligence solutions on the Microsoft Azure platform. Who This Certification is For: The AI-102 certification is intended for individuals who have a strong foundation in AI concepts and are ready to extend their skills to the Azure ecosystem. Whether you're an experienced professional or a newcomer to the AI landscape, this certification provides a structured path to validate your capabilities and enhance your career prospects. What This Book Covers: This guide is crafted to be your companion on the journey to becoming an Azure AI Engineer. It covers the key domains and skills assessed in the AI-102 certification exam, offering in-depth insights into designing and implementing AI solutions on Azure.
