The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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- 5 stars69.34%
- 4 stars23.79%
- 3 stars5.01%
- 2 stars1.19%
- 1 star0.64%
LAUNCHING INTO MACHINE LEARNING からの人気レビュー
Just stick with it! The course is easy to follow, and the labs get you into tweaking ML related code without having to know the underlying math. LOVE IT!
Great presenter. High energy engaging. The material is more difficult and to develop intuition of why the sampling needs to result in constant RMSE didn't come across.
Very good course for beginners! -1 star because I find labs to be less informational and practical and course to be more theoretical that practical!
Nice course, kind of introductory but necessary for someone who has no knowledge about Machine Learning basics and most relevant algorithms so far.
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