Название: Training Data for Machine Learning: Human Supervision from Annotation to Data Science (Seventh release)Автор: Anthony Sarkis
Издательство: O’Reilly Media, Inc.
Год: 2023-01-26
Страниц: 204
Язык: английский
Формат: epub
Размер: 10.1 MB
Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in Deep Learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. What is Training Data? Training Data is the control of a Supervised System. Training Data controls the system by defining the ground truth goals for the creation of Machine Learning models. This involves technical representations, people decisions, processes, tooling, system design, and a variety of new concepts specific to Training Data. In a sense, a Training Data mindset is a paradigm upon which a growing list of theories, research and standards are emerging. A Machine Learning (ML) Model that is created as the end result of a ML Training Process. The code is written to Python.
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