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Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Author: Anthony Sarkis
Year: 2024
Pages: 332
Format: PDF | EPUB RETAIL COPY
File size: 21.3 MB, 13.2 MB
Language: ENG

Year: 2024
Pages: 332
Format: PDF | EPUB RETAIL COPY
File size: 21.3 MB, 13.2 MB
Language: ENG

Training Data for Machine Learning Human Supervision from Annotation to Data Science Final Introduction The world we live in today is vastly different from the one our parents or grandparents grew up in. With the advent of technology and machine learning, everything from how we communicate to how we work has changed dramatically. However, this rapid pace of change can be overwhelming and leave us feeling lost and disconnected from what truly matters. In his groundbreaking new book, Training Data for Machine Learning Human Supervision from Annotation to Data Science Final, author John Doe explores the intersection of technology and humanity, arguing that the key to a fulfilling life lies not just in embracing these changes but also in understanding their underlying principles. Chapter 1: The Evolution of Technology In the first chapter, Doe provides an in-depth look at the evolution of technology, from the early days of computing to the current era of artificial intelligence. He explains how each development has built upon the last, creating a complex web of interconnected systems that shape our lives in ways both big and small.
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