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 stars69.37%
- 4 stars23.76%
- 3 stars5%
- 2 stars1.21%
- 1 star0.64%
来自LAUNCHING INTO MACHINE LEARNING的热门评论
My favourite course in the specialisation. I think it's a great idea to use historic time-frame to explain the advances in ML and why there is so much hype around deep learning.
This course is very helpful to understand the machine learning concepts of various modals, splitting of the data and even training the model for benchmark.
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!
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!