Training Data for Machine Learning 2022 : Human Supervision from Annotation to Data Science 1st Edition by Anthony Sarkis
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Overview: 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. Data science professionals and machine learning engineers will gain a solid understanding of the concepts, tools, and processes needed to:
Genre: Non-Fiction > Tech & Devices
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