Insights And Outlook
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Author | : Albert Hofmann |
Publisher | : Green Dragon Books |
Total Pages | : 62 |
Release | : 1989 |
Genre | : Religion |
ISBN | : 0893341169 |
Dr. Albert Hofmann, one of this century's greatest minds, offers a lifetime of insights, observations, and discussions. He leads us on an exploration of reality perception, where our newly discovered insights are drawn into intellectual meditation. Reality is approached as a combination of subjective and objective truths, which must be unified for ultimate awareness. This amazing book will expand your mind and lift you to a level where the material and spiritual aspects of your life exist in harmony.
Author | : Arthur Koestler |
Publisher | : New York, MacMillan |
Total Pages | : 476 |
Release | : 1949 |
Genre | : Creation (Literary, artistic, etc.) |
ISBN | : |
Author | : OECD |
Publisher | : OECD Publishing |
Total Pages | : 252 |
Release | : 2021-06-08 |
Genre | : |
ISBN | : 9264904646 |
How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems.
Author | : Prashila Naik |
Publisher | : BPB Publications |
Total Pages | : 309 |
Release | : 2020-11-12 |
Genre | : Computers |
ISBN | : 9389898145 |
Explore and work with various Microsoft Azure services for real-time Data Analytics KEY FEATURESÊ Understanding what Azure can do with your data Understanding the analytics services offered by Azure Understand how data can be transformed to generate more data Understand what is done after a Machine Learning model is builtÊ Go through some Data Analytics real-world use cases ÊÊ DESCRIPTIONÊ Data is the key input for Analytics. Building and implementing data platforms such as Data Lakes, modern Data Marts, and Analytics at scale require the right cloud platform that Azure provides through its services. The book starts by sharing how analytics has evolved and continues to evolve. Following the introduction, you will deep dive into ingestion technologies. You will learn about Data processing services in Azure. You will next learn about what is meant by a Data Lake and understand how Azure Data Lake Storage is used for analytical workloads. You will then learn about critical services that will provide actual Machine Learning capabilities in Azure. The book also talks about Azure Data Catalog for cataloging, Azure AD for Access Management, Web Apps and PowerApps for cloud web applications, Cognitive services for Speech, Vision, Search and Language, Azure VM for computing and Data Science VMs, Functions as serverless computing, Kubernetes and Containers as deployment options. Towards the end, the book discusses two use cases on Analytics. WHAT WILL YOU LEARNÊÊ Explore and work with various Azure services Orchestrate and ingest data using Azure Data Factory Learn how to use Azure Stream Analytics Get to know more about Synapse Analytics and its features Learn how to use Azure Analysis Services and its functionalities Ê WHO THIS BOOK IS FORÊ This book is for anyone who has basic to intermediate knowledge of cloud and analytics concepts and wants to use Microsoft Azure for Data Analytics. This book will also benefit Data Scientists who want to use Azure for Machine Learning. Ê TABLE OF CONTENTSÊÊ 1. Ê Data and its power 2. Ê Evolution of Analytics and its Types 3. Ê Internet of Things 4. Ê AI and ML 5. Ê Why cloud 6. Ê What are a data lake and a modern datamart 7. Ê Introduction to Azure services 8. Ê Types of data 9. Ê Azure Data Factory 10. Stream Analytics 11. Azure Data Lake Store and Azure Storage 12. Cosmos DB 13.Ê Synapse Analytics 14.Ê Azure Databricks 15.Ê Azure Analysis Services 16.Ê Power BI 17.Ê Azure Machine Learning 18.Ê Sample Architectures and synergies - Real-Time and Batch 19.Ê Azure Data Catalog 20.Ê Azure Active Directory 21.Ê Azure Webapps 22.Ê Power apps 23.Ê Time Series Insights 24.Ê Azure Cognitive Services 25.Ê Azure Logicapps 26.Ê Azure VM 27.Ê Azure Functions 28.Ê Azure Containers 29.Ê Azure KubernetesÊ Service 30.Ê Use Case 1 31.Ê Use Case 2
Author | : OECD |
Publisher | : OECD Publishing |
Total Pages | : 274 |
Release | : 2019-05-09 |
Genre | : |
ISBN | : 9264776184 |
Economies and societies are undergoing digital transformations that bring both opportunities and challenges and countries’ preparedness to seize the benefits of a digital world is largely dependent on the skills of their population.
Author | : OECD |
Publisher | : OECD Publishing |
Total Pages | : 320 |
Release | : 2018-11-19 |
Genre | : |
ISBN | : 9264307575 |
The OECD Science, Technology and Innovation Outlook 2018 is the twelfth edition in a series that biennially reviews key trends in science, technology and innovation (STI) policy in OECD countries and a number of major partner economies. The 14 chapters within this edition look at a range of ...
Author | : Jeff Barnes |
Publisher | : Microsoft Press |
Total Pages | : 393 |
Release | : 2015-04-25 |
Genre | : Computers |
ISBN | : 073569818X |
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.
Author | : OECD |
Publisher | : OECD Publishing |
Total Pages | : 318 |
Release | : 2020-11-27 |
Genre | : |
ISBN | : 9264740449 |
The OECD Digital Economy Outlook 2020 examines trends and analyses emerging opportunities and challenges in the digital economy. This third edition of the OECD Digital Economy Outlook provides a holistic overview of converging trends, policy developments and data on both the supply and demand sides of the digital economy. It illustrates how the digital transformation is affecting economies and societies. Finally, it provides a special focus on how the COVID-19 pandemic is amplifying opportunities and challenges from the digital transformation.
Author | : NARAYAN CHANGDER |
Publisher | : CHANGDER OUTLINE |
Total Pages | : 122 |
Release | : 2024-05-16 |
Genre | : Computers |
ISBN | : |
THE MICROSOFT 365 MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE MICROSOFT 365 MCQ TO EXPAND YOUR MICROSOFT 365 KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY.
Author | : U.S.-China Economic and Security Review Commission |
Publisher | : |
Total Pages | : 1138 |
Release | : 2008 |
Genre | : China |
ISBN | : |