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
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- 5 stars70.84%
- 4 stars22.73%
- 3 stars4.49%
- 2 stars0.85%
- 1 star1.06%
TOP REVIEWS FROM MACHINE LEARNING IN THE ENTERPRISE
Very interesting course! Specifically the last modules with custom estimators and the ability to create estimators straight from Keras!
This is an extensive course where you learn some handy techniques like embedding which I believe will be very handy for many applications
thanks for the great work. There is so much to learn and I appreciate the effort you made to break things down and providing lab while making the hard decisions on what to commit.
This final course is also very good. Embedding is my favorite part and Lak is my favorite instructor. Thanks Googlers! Looking forward to the next five courses.
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