Google releases AI Explorables to make machine learning more accessible and participatory
By Ather Fawaz @AtherFawaz · May 7, 2020
By Ather Fawaz @AtherFawaz · May 7, 2020
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Artificial intelligence and machine learning have risen greatly both in terms of their popularity and applications in recent years. We've seen how machine learning has been used toДля просмотра ссылки Войдиили Зарегистрируйсяat popular games like Go and we've also seen how it can be a powerful technique to explore areas like Для просмотра ссылки Войди или Зарегистрируйся, optimum Для просмотра ссылки Войди или Зарегистрируйся, and even Для просмотра ссылки Войди или Зарегистрируйся
But much of the existing literature on machine learning, barring a few resources, can come off as abstruse and pedantic. Considering this, Для просмотра ссылки Войдиили Зарегистрируйся called Для просмотра ссылки Войди или Зарегистрируйся to make the core concepts of machine learning more accessible via a series of interactive explanations.
Currently, Google has posted explanations of two fundamental concepts—Для просмотра ссылки Войдиили Зарегистрируйся and Для просмотра ссылки Войди или Зарегистрируйся. But in the coming months, the tech giant plans on posting more 'Explorables' on other fairness issues such as the effect of feedback loops on the biases of the AI system. Interpretability, which answers the logical steps taken by a system to reach a specific point, will be covered too along with the issue of privacy and what it means in the context of an AI system.
All in all, with AI Explorables, Google and its Для просмотра ссылки Войдиили Зарегистрируйсяhope to make machine learning more accessible, participatory, and inclusive. Further details can be Для просмотра ссылки Войди или Зарегистрируйся
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Artificial intelligence and machine learning have risen greatly both in terms of their popularity and applications in recent years. We've seen how machine learning has been used toДля просмотра ссылки Войди
But much of the existing literature on machine learning, barring a few resources, can come off as abstruse and pedantic. Considering this, Для просмотра ссылки Войди
Hidden Bias | Measuring Fairness |
---|---|
Для просмотра ссылки Войди | Для просмотра ссылки Войди |
Currently, Google has posted explanations of two fundamental concepts—Для просмотра ссылки Войди
All in all, with AI Explorables, Google and its Для просмотра ссылки Войди
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