This course encompasses a real-world practical approach to the ML Workflow: a case study approach that presents an ML team faced with several ML business requirements and use cases. This team must understand the tools required for data management and governance and consider the best approach for data preprocessing: from providing an overview of Dataflow and Dataprep to using BigQuery for preprocessing tasks.
About this Course
Skills you will gain
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 stars70.83%
- 4 stars22.74%
- 3 stars4.51%
- 2 stars0.84%
- 1 star1.05%
TOP REVIEWS FROM MACHINE LEARNING IN THE ENTERPRISE
The course is quite good and have balance of theory and labs. It is useful course for beginners.
It would be nice to have more complex datasets where predictions would be more meaningful.
Great inside about the core topics with real word problems which make learning easier and practical. Thanks a lot for this great course
Nice course however I think it suits folks who have good exposure of ML to take complete advantage of the techniques
Frequently Asked Questions
Can I preview a course before enrolling?
What will I get when I enroll?
When will I receive my Course Certificate?
Why can’t I audit this course?
Qwiklabs Terms of Service
More questions? Visit the Learner Help Center.