Techniques for interpretable machine learning
Techniques for interpretable machine learning Page 1 68 COMMUNICATIONS OF THE
ACM | JANUARY 2020 | VOL. 63 | NO. 1 review articles MACHINE LEARNING IS
progressing at an astounding rate, powered by complex models such as ensemble models
and deep neural networks (DNNs). These models have a wide range of real-world
applications, such as movie recommendations of Netflix, neural machine translation of
Google, and speech recognition of Amazon Alexa. Despite the successes, machine …
ACM | JANUARY 2020 | VOL. 63 | NO. 1 review articles MACHINE LEARNING IS
progressing at an astounding rate, powered by complex models such as ensemble models
and deep neural networks (DNNs). These models have a wide range of real-world
applications, such as movie recommendations of Netflix, neural machine translation of
Google, and speech recognition of Amazon Alexa. Despite the successes, machine …
Uncovering the mysterious ways machine learning models make decisions.
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