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Sidoruk P: From Data to Dollars

From Data to Dollars

Getting started with Data Analytics and AI in Startups

1.&nbsp;The Role of Data in Startups.- 2.&nbsp;&nbsp;Building a Data-Driven Strategy.- 3.&nbsp;Data Infrastructure Basics.- 4.&nbsp;Metrics that Matter.- 5.&nbsp;Programming Skills for Data Professionals.- 6.&nbsp;Data Engineering and Orchestration.- 7.&nbsp;Business Intelligence Platforms.- 8.&nbsp;Product Analytics and Event Tracking.- 9.&nbsp;Experimentation and A/B Testing.- 10.&nbsp;Startup Valuation Methods.- 11.&nbsp;Advanced Techniques in Data Science and AI.- 12.&nbsp;The Future of Data in Startups.

Sybex Study Guide

The fastest and most effective way to learn the fundamentals of Azure cloud technology and prepare for the AZ-900 certification exam The newly updated second edition of Microsoft Certified Azure Fundamentals Study Guide is an accurate and up-to-date roadmap to the AZ-900 certification exam and a reliable, effective resource for everyone seeking to learn about or reinforce their knowledge of Azure services, pricing, security and compliance, resource management, and more. In the book, experienced Microsoft Principal Customer Success Account Manager and long-time author, Jim Boyce, covers every foundational Azure competency, including: <ul> <li>General and foundational cloud concepts</li> <li>Azure Core Services, including architecture, subscription and billing options, data services, and virtual machines</li> <li>Azure Core Networking Services, like virtual networks, load balancers, and VPN gateways</li> <li>Security, compliance, privacy, and trust features</li> <li>Azure Solutions, like AI and machine learning, serverless computing, and IoT</li> <li>Azure pricing, service levels, and lifecycles</li> <li>Azure Resource creation and management</li> </ul> Ideal for technical and non-technical professionals alike, this straightforward Study Guide draws on the proven Sybex model to explain core Azure features and concepts. It will get you ready to succeed on the widely used AZ-900 certification test and elevate your understanding of Azure cloud software, improving your day-to-day performance in any role that directly or indirectly intersects with the cloud platform. Inside the book <ul> <li>End-of-chapter review questions, with answers and explanations, you can use to measure your progress and help you focus on the areas where you need to improve</li> <li>Concise and intuitive explanations of core Azure services, functions, and features</li> <li>Complimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms</li> </ul> With authoritative, concise coverage of all relevant cloud concepts, Azure architecture and services, and management and governance features tested by the AZ-900 certification exam, this edition of Microsoft Certified Azure Fundamentals Study Guide is the fastest, most efficient way to get up to speed on foundational Azure cloud competencies.

Exam AZ-900

MC Azure Fundamentals Study Guide

Die Vierte Kränkung. Der Mensch im Schatten der Künstlichen Intelligenz

Beck international

The Book
Artificial Intelligence will profoundly shape the future economy and society. Whereas the potential benefits are notable and desirable, the risk of serious harm is considerable. The new EU AI Act 2024/1689 therefore seeks to provide a legal framework to regulate AI systems in the EU.
Written by an international team of experts, this Article-by-Article Commentary provides a comprehensive analysis and explanation of each of the provisions of the AI Act to assist in the interpretation and application. Each commentary follows a clear and uniform structure, also providing key information on the function and context of each provision. Where appropriate, practice tips are also given.

The Advantages at a GlanceComprehensive analysisInternational team of renowned expertsClear and uniform structure
The Target Group
For in-house counsel, legal practitioners, scholars, supervisory authorities, industry groups.

The Book
Artificial Intelligence will profoundly shape the future economy and society. Whereas the potential benefits are notable and desirable, the risk of serious harm is considerable. The new EU AI Act 2024/1689 therefore seeks to provide a legal framework to regulate AI systems in the EU.
Written by an international team of experts, this Article-by-Article Commentary provides a comprehensive analysis and explanation of each of the provisions of the AI Act to assist in the interpretation and application. Each commentary follows a clear and uniform structure, also providing key information on the function and context of each provision. Where appropriate, practice tips are also given.

The Advantages at a GlanceComprehensive analysisInternational team of renowned expertsClear and uniform structure
The Target Group
For in-house counsel, legal practitioners, scholars, supervisory authorities, industry groups.

Article-by-Article Commentary

Artificial Intelligence Act

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp; Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

A How-To Guide for Implementation and Management

AI for Public Relations

Foundations & Concepts

Generative AI

Woodhead Publishing Reviews: Mechanical Engineering Series

Technological progress in composite manufacturing has revolutionized industries such as aerospace, automotive, construction, and sports equipment. These materials boast a compelling combination of high strength-to-weight ratio, corrosion resistance, and design flexibility. Advanced Manufacturing and Joining Technologies for Composite Materials delves into pivotal advancements that have enhanced performance and cost-effectiveness. Automation and robotics have transformed manufacturing processes, with techniques like automated fiber placement and automated tape laying ensuring precise and consistent reinforcement fiber placement. This minimizes human error, improves repeatability, and expedites production. Material science breakthroughs have given rise to smart composites capable of sensing, responding, and adapting to environmental changes. These smart composites find applications in structural health monitoring, shape-shifting structures, and adaptive aerodynamics. The book covers topics not commonly addressed in other references, including automated composite manufacturing, out-of-autoclave curing, nanostructured composites, smart composites, recycling and sustainability, and hybrid composites. Additionally, it addresses the modeling and simulation of composite manufacturing processes and the joining of composite laminates for product development, offering an exciting exploration for readers and learners.

Advanced Manufacturing and Joining Technologies for Composite Materials

Synthesis Lectures on Technology and Health

<div>This book provides a comprehensive overview of palliative care digital health by covering current developments, methodology, clinical relevance, research priorities, ethical issues, and policy related to technological innovations for those with serious illness. This type of book does not currently exist in the literature, as previous work primarily focuses on digital health for early identification of disease and facilitating self-care or ‘aging in place’ practices. This book addresses the lack of focus on digital health for people with palliative care needs. This book has a special focus on the needs of individuals as their health worsens throughout their illness. Consequently, the reader will benefit from this book’s focus on the science, methodology, application, and practicality of digital health developments in palliative care.</div>
<div>This book explores the barriers that prevent the meaningful use of digital health in palliative care, including expenses, interoperability issues, data privacy and security concerns, lack of effectiveness and equity, and the concern that technology may reduce face-to-face consultations between patients and clinicians. There is an overall lack of consensus about digital health research priorities in palliative care, and a lack of theories about how these technologies might improve care outcomes. Therefore, this book emphasizes the importance of identifying, discussing, and debating how technological innovations can be meaningfully used to ensure that frail people have appropriate access to palliative care services. Consequently, this book begins the conversation about articulating digital health research priorities in palliative care to determine how finite resources should be allocated to a field saturated with rapidly developing innovation.</div>

Technologies in Palliative Care for Older People

Challenges and Applications of Generative Large Language Models

Dieses Buch bietet einen praxisnahen Einblick für Führungskräfte, Entscheider und Data-Science-Interessierte, die das Potenzial von Daten im Unternehmen voll ausschöpfen wollen. Es zeigt, wie Data Science nicht nur operative Prozesse optimiert, sondern auch strategisch zum langfristigen Geschäftserfolg beiträgt und neue Chancen erschließt. Basierend auf dem Podcast „Data Science mit Milch und Zucker“ behandelt das Buch zentrale Themen wie Datenstrategie, Künstliche Intelligenz, MLOps, Data Mesh und Business Impact. Es liefert konkrete Handlungsempfehlungen und echte Einblicke aus der Praxis – von der erfolgreichen Integration von Data Science bis zur effektiven Skalierung datengetriebener Projekte. Leserinnen und Leser erhalten wertvolle Best Practices führender Unternehmen, die den Wandel aktiv gestalten und datengetriebene Entscheidungen als Wettbewerbsvorteil nutzen. Ergänzt wird dies durch inspirierende Denkanstöße und sofort umsetzbare Impulse für den unternehmerischen Alltag.Für wen ist dieses Buch? Für Manager:innen, Unternehmer:innen, Data-Science-Verantwortliche und Changemaker, die datenbasiert entscheiden und ihre Organisation zukunftsfähig aufstellen wollen.Die Herausgebenden Prof. Dr. René Brunner ist Professor für Data Science, mehrfach ausgezeichneter Wissenschaftler, gefragter Speaker und Gründer der Datamics GmbH. Er lehrt an renommierten Universitäten im deutschsprachigen Raum, aktuell an der Hochschule Macromedia, und hat über 50.000 Menschen in Data Science ausgebildet. Seine Leidenschaft gilt der Verbindung von wissenschaftlicher Tiefe und praktischer Anwendung im Unternehmenskontext. Durch seine langjährige Erfahrung in Lehre, Forschung und Beratung kennt er die Herausforderungen und Erfolgsfaktoren datengetriebener Transformation aus erster Hand.Glorinda Matrone ist Data Strategin, Unternehmensberaterin und erfahrene Führungskraft im Digitalbereich. Mit fundierter Expertise begleitet sie Organisationen auf ihrem Weg zur Data-Driven Company und baut Brücken zwischen Technologie, Business und Menschen.

Erkenntnisse aus dem Podcast Data Science mit Milch und Zucker

Wie Data Science Unternehmen transformiert

Psychophysics and Experimental Phenomenology of Pattern Cognition

Advanced and Intelligent Manufacturing in China

This book brings together the vast majority of the existing popular image processing algorithms, with the simple illustrated method to explain the complex theoretical algorithms; each algorithm is given a practical application case, which is one of the main features of the book.&nbsp; There are two parts in the book.&nbsp; The first part "Machine Vision Theory and Algorithms" includes machine vision, image processing, target extraction, edge detection, image smoothing, geometric parameter detection, Hough transform, geometric transform, monocular vision measurement, binocular vision measurement, motion image processing, Fourier transform, wavelet transform, pattern recognition, neural network, deep learning, and genetic algorithm.&nbsp; The second part "Machine Vision Application System" includes the universal image processing system ImageSys, two-dimensional motion image measurement and analysis system MIAS, three-dimensional motion measurement and analysis system MIAS3D, vehicle vision navigation system.&nbsp; The book is not only suitable for machine vision and image processing professional theory combined with practice teaching, for the related professional researchers and technicists also has an important reference value.

Machine Vision Technology

From Data to Dollars

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