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Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering. It is a methodology for improving the quality of data and of analytical pipelines and processes.
This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.
This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.
This book offers a balanced approach to understanding the complex ethical dilemmas, regulatory frameworks, and practical... Læs mere
This book offers a balanced approach to understanding the complex ethical dilemmas, regulatory frameworks, and practical... Læs mere
In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools.
Featuring stories from various Web sites and a chronological organization of topics... Læs mere
So bauen Sie ein wirkungsvolles Projektcontrolling auf und integrieren es in das Projektmanagement.Nutzen Sie praxiserprobte und fortschrittliche Instrumente und Methoden für die Steuerung der Projektkosten, -leistungen und -termine.