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What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform. > 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 <
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完成此 專項課程 後開始了新的職業。
24%
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100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為5 個月
建議 5 小時/週
英語(English)
學生職業成果
40%
完成此 專項課程 後開始了新的職業。
24%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為5 個月
建議 5 小時/週
英語(English)

此專項課程包含 5 門課程

課程1

課程 1

How Google does Machine Learning

4.6
6,300 個評分
995 條評論
課程2

課程 2

Launching into Machine Learning

4.6
3,904 個評分
449 條評論
課程3

課程 3

TensorFlow 简介

4.4
2,478 個評分
300 條評論
課程4

課程 4

特色工程

4.5
1,579 個評分
174 條評論

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Google 云端平台

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