Training Data for Machine Learning : Human Supervision from Annotation to Data Science
Master the art of creating high-quality training data for machine learning with this comprehensive guide. "Training Data for Machine Learning: Human Supervision from Annotation to Data Science" by Anthony Sarkis covers the entire lifecycle of data annotation, from initial setup to advanced data science applications. Learn how human supervision is crucial for building accurate and reliable AI models. This book delves into: * The principles of effective data annotation. * Strategies for managing and scaling annotation projects. * The role of human judgment in ensuring data quality. * Connecting annotation efforts to broader data science workflows. Whether you're a data scientist, machine learning engineer, or project manager, this essential resource will equip you with the knowledge to create robust datasets that drive successful machine learning outcomes. Product Summary: O'Reilly Media book on training data for machine learning, covering human supervision, annotation processes, and data science integration. Authored by Anthony Sarkis.
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Details:Training Data for Machine Learning : Human Supervision from Annotation to Data Science
Master the art of creating high-quality training data for machine learning with this comprehensive guide. "Training Data for Machine Learning: Human Supervision from Annotation to Data Science" by Anthony Sarkis covers the entire lifecycle of data annotation, from initial setup to advanced data science applications. Learn how human supervision is crucial for building accurate and reliable AI models. This book delves into: * The principles of effective data annotation. * Strategies for managing and scaling annotation projects. * The role of human judgment in ensuring data quality. * Connecting annotation efforts to broader data science workflows. Whether you're a data scientist, machine learning engineer, or project manager, this essential resource will equip you with the knowledge to create robust datasets that drive successful machine learning outcomes. Product Summary: O'Reilly Media book on training data for machine learning, covering human supervision, annotation processes, and data science integration. Authored by Anthony Sarkis.
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Product Description
Master the art of creating high-quality training data for machine learning with this comprehensive guide. "Training Data for Machine Learning: Human Supervision from Annotation to Data Science" by Anthony Sarkis covers the entire lifecycle of data annotation, from initial setup to advanced data science applications. Learn how human supervision is crucial for building accurate and reliable AI models. This book delves into: * The principles of effective data annotation. * Strategies for managing and scaling annotation projects. * The role of human judgment in ensuring data quality. * Connecting annotation efforts to broader data science workflows. Whether you're a data scientist, machine learning engineer, or project manager, this essential resource will equip you with the knowledge to create robust datasets that drive successful machine learning outcomes. Product Summary: O'Reilly Media book on training data for machine learning, covering human supervision, annotation processes, and data science integration. Authored by Anthony Sarkis.
Product Specifications
General | |
|---|---|
format | trade paperback |
Language | english |
type | textbook |
Brand | O'Reilly Media |
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