[PDF/ePUB] Human

Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI image

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Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively.Summary Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus almost exclusively on the algorithms, not the human-computer interaction part of the systems. This can leave a big knowledge gap for data scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorithms. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation, active learning, transfer learning, and using machine learning to optimize every step of the process. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. About the book Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You’ll learn to create training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows. What's inside     Identifying the right training and evaluation data     Finding and managing people to annotate data     Selecting annotation quality control strategies     Designing interfaces to improve accuracy and efficiency About the author Robert (Munro) Monarch is a data scientist and engineer who has built machine learning data for companies such as Apple, Amazon, Google, and IBM. He holds a PhD from Stanford. Robert holds a PhD from Stanford focused on Human-in-the-Loop machine learning for healthcare and disaster response, and is a disaster response professional in addition to being a machine learning professional. A worked example throughout this text is classifying disaster-related messages from real disasters that Robert has helped respond to in the past. Table of Contents PART 1 - FIRST STEPS 1 Introduction to human-in-the-loop machine learning 2 Getting started with human-in-the-loop machine learning PART 2 - ACTIVE LEARNING 3 Uncertainty sampling 4 Diversity sampling 5 Advanced active learning 6 Applying active learning to different machine learning tasks PART 3 - ANNOTATION 7 Working with the people annotating your data 8 Quality control for data annotation 9 Advanced data annotation and augmentation 10 Annotation quality for different machine learning tasks PART 4 - HUMAN–COMPUTER INTERACTION FOR MACHINE LEARNING 11 Interfaces for data annotation 12 Human-in-the-loop machine learning products

✔ Author(s):
✔ Title: Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI
✔ Rating : 4.3 out of 5 base on (18 reviews)
✔ ISBN-10: 1617296740
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle

Readers' opinions about Human by Robert (Munro) Monarch

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Aleena Tran
Experience the inspiring journey of an individual overcoming incredible odds in this powerful memoir. The author's candid and heartfelt writing brings their story to life. Each chapter reveals the resilience and strength of the human spirit. The narrative is both informative and deeply moving, offering valuable life lessons. It's a story that motivates and inspires, making it a must-read. Perfect for those seeking inspiration and personal growth.
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Reeve Adams
Unravel the secrets of a small town with a dark past in this gripping thriller. The author's atmospheric writing and suspenseful plot make for a page-turner. Each character's hidden motives and secrets add to the tension. The twists and surprises keep you guessing until the very end. It's a chilling and captivating read that you won't want to put down. Perfect for fans of mystery and suspense.
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Aviana Olsen
Explore the impact of technology on society in this thought-provoking novel. The author's insightful writing and compelling characters create a narrative that challenges your perceptions. Each chapter delves into the complexities of modern life with depth and nuance. The plot's twists and turns keep you engaged throughout. It's a story that prompts deep reflection on the role of technology in our lives. Perfect for readers interested in contemporary issues.


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