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.
À propos de ce cours
Compétences que vous acquerrez
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
- 5 stars69,34 %
- 4 stars23,79 %
- 3 stars5,01 %
- 2 stars1,19 %
- 1 star0,64 %
Meilleurs avis pour LAUNCHING INTO MACHINE LEARNING
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!
Overall it was great, and very instructive. However, the Short History of ML was a little bit confusing with too many unexplained words and too many details too early.
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.
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.
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