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.
About this Course
Skills you will gain
- 5 stars69.42%
- 4 stars23.73%
- 3 stars4.99%
- 2 stars1.20%
- 1 star0.63%
TOP REVIEWS FROM LAUNCHING INTO MACHINE LEARNING
I got a whole idea on how to work on data from scratch. Model selection, generalization, splitting of data and performance metric were few things I learned from this course.
This course gave me a good overview of how to work with GCP for ML and also helped in covering a bit of knowledge gaps that I had when I learnt things on my own.
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
Amazing course. For a beginner like me, it was a shot in the arm. Excellent presentation very lively and engaging. Hope to see the instructor soon in a another course. Thanks so much. I learned a lot.
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