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 stars69.38%
- 4 stars23.75%
- 3 stars5%
- 2 stars1.21%
- 1 star0.64%
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.
Very useful course content and let me to identify some mistakes I done when I do experiments and learnt the how the benchmark phase really works
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!
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