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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik The Decision Maker's Handbook to Data Science
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The Decision Maker's Handbook to Data Science
Stylianos Kampakis (Broschiert, Englisch)
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Beschreibung
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. This third edition delves into the latest advancements in AI, particularly focusing on large language models (LLMs),… with clear distinctions made between AI and traditional data science, including AI's ability to emulate human decision-making. Author Stylianos Kampakis introduces you to the critical aspect of ethics in AI, an area of growing importance and scrutiny. The narrative examines the ethical considerations intrinsic to the development and deployment of AI technologies, including bias, fairness, transparency, and accountability. You’ll be provided with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated edition also includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists. Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker’s Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide. What You Will Learn Integrate AI with other innovative technologies Explore anticipated ethical, regulatory, and technical landscapes that will shape the future of AI and data science Discover how to hire and manage data scientists Build the right environment in order to make your organization data-driven Who This Book Is For Startup founders, product managers, higher level managers, and any other non-technical decision makers who are thinking to implement data science in their organization and hire data scientists. A secondary audience includes people looking for a soft introduction into the subject of data science. 58,84 €
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Technische Daten
Erscheinungsdatum
02.07.2024
Sprache
Englisch
EAN
9798868802782
Herausgeber
APRESS
Sonderedition
Nein
Autor
Stylianos Kampakis
Seitenanzahl
192
Auflage
3
Einbandart
Broschiert
Buch Untertitel
AI and Data Science for Non-Technical Executives, Managers, and Founders
Schlagwörter
Data analytics explained, How to use machine learning in business, Types of machine learning, Data strategy, Data culture, Data science for managers, Data science for executives, How to hire data scientists, ML vs AI, Data science, Data science made easy
Thema-Inhalt
UMB - Algorithmen und Datenstrukturen
GPF - Informationstheorie
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
UN - Datenbanken
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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