- Tensorflow
- Machine Learning
- Feature Engineering
- Cloud Computing
- Vertex AI
October 9, 2018
Approximately 2 months at 10 hours a week to complete佳佑 林's account is verified. Coursera certifies their successful completion of Google Cloud Machine Learning on Google Cloud Specialization.
Course Certificates Completed
How Google does Machine Learning
TensorFlow on Google Cloud
Launching into Machine Learning
Machine Learning in the Enterprise
Feature Engineering
Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models
Implement machine learning models using Keras and TensorFlow 2.x
Implement machine learning in the enterprise best practices
Describe how to perform exploratory data analysis and improve data quality
Earned after completing each course in the Specialization
Google Cloud
Taught by: Google Cloud Training
Completed by: 佳佑 林 by September 2, 2018
1 week of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: 佳佑 林 by September 27, 2018
4 weeks of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: 佳佑 林 by September 15, 2018
5 - 7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: 佳佑 林 by October 9, 2018
3 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: 佳佑 林 by October 4, 2018
2 weeks of study, 5-7 hours per week