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.
- 5 stars69.39%
- 4 stars23.74%
- 3 stars5%
- 2 stars1.20%
- 1 star0.64%
LAUNCHING INTO MACHINE LEARNING からの人気レビュー
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.
Tensorflow Playground is awesome to understand some of the theory of Deep Neural Nets !
Theory on creating/managing models was good too.
The labs with BigQuery were not that interesting too
Interesting course, and the technical details during week 3 and 4 were highly appreicated. The labs could have been a bit better put together, but all round happy with this course!
Good course, covering all the basics about machine learning and most importantly, everything that surrounds an ml project and you need to take into account to make your ml project successful.