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February 28, 2019
Why Human-Annotated Data is Key to Machine Learning: Three Use Cases
Machine learning requires high volumes of data for training, validation, and testing. A machine learning model learns to find patterns in the input that is fed to it. This
2019-02-28
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February 22, 2019
What New Jobs Will AI Create?
The boom in deep learning technologies such as Artificial Intelligence (AI) and Machine Learning (ML) can cause varying degrees of excitement or anxiety — largely depending
2019-02-22
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January 30, 2019
Want to Build a Better Computer Vision System? Give it the Right Training Data.
Computer vision (CV) is a machine’s ability to capture and analyze visual data on its own, then make decisions about it. With computer vision, machines can detect and
2019-01-30
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January 23, 2019
Appen’s Top Five Blog Posts from 2018
2018 was an exciting year here at Appen. We expanded into nine offices worldwide, and our global crowd of skilled annotators has grown to over 1 million people, working in
2019-01-23
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January 15, 2019
What is Human-in-the-Loop Machine Learning?
Human-in-the-loop (HITL) is a branch of artificial intelligence that leverages both human and machine intelligence to create machine learning models. In a traditional
2019-01-15
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January 9, 2019
Recent AI Developments in China
China is now a leading global hub for AI development. Startups and major tech companies like Baidu, Alibaba, Tencent, and DiDi Chuxing are developing cutting edge products,
2019-01-09
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