How Google does Machine Learning

开始时间: 02/22/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/google-machine-learning

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What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

Google如何进行机器学习:什么是机器学习?它可以解决哪些问题? Google对机器学习的看法略有不同-关于逻辑,而不仅仅是数据。我们讨论为什么在考虑建立机器学习模型管道时,这样的框架对数据科学家有用吗? 然后,我们讨论将候选用例转换为机器学习驱动的五个阶段,并考虑为什么不跳过这些阶段很重要。最后,我们认识到机器学习可以放大的偏见以及如何认识到这一点。 &gt;&gt;&gt;通过注册该专业,您同意FAQ中列出的Qwiklabs服务条款,该条款位于:https://qwiklabs.com/terms_of_service&lt;&lt;&lt;

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课程简介

What is machine learning, and what kinds of problems can it solve? Google thinks about machine learn

课程标签

机器学习 Google Google机器学习 机器学习模型

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