Machine learning with human involvement
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Applications of machine learning demonstrate better efficiency in the presence of feedback with a person. Attraction to the work of suitable employees increases the accuracy of models, reduces the number of errors in the data, reduces expenses and helps to accelerate the release of models.
The book sets out methods for effective joint work of people and cars. Here you will find the best practices for choosing data samples for feedback with a person, quality control of human annotations and developing interfaces of annotations.
You will learn how to create training data for marking, recognition of objects, semantic segmentation, labeling sequences and much more. The book begins with the basics and goes to advanced methods, such as transfer training and self -control in the working processes of annotation.
The book is intended for data specialists, software developers and those who are taking the first steps in working with machine learning
The book sets out methods for effective joint work of people and cars. Here you will find the best practices for choosing data samples for feedback with a person, quality control of human annotations and developing interfaces of annotations.
You will learn how to create training data for marking, recognition of objects, semantic segmentation, labeling sequences and much more. The book begins with the basics and goes to advanced methods, such as transfer training and self -control in the working processes of annotation.
The book is intended for data specialists, software developers and those who are taking the first steps in working with machine learning
Author:
Author:Монарх Р.
Cover:
Cover:Hard
Category:
- Category:Business & Money
- Category:Education & Teaching
Paper:
Paper:Offset
Age restrictions:
Age restrictions:18+
ISBN:
ISBN:978-5-97060-934-7
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