Practical Data Science and Machine Learning on the Cloud
Topics:
- Introduction to machine learning in the cloud.
- Building machine learning models with AI Platform: TensorFlow, AI Platform, and the ML workflow
- AutoML.
- Google's pre-trained machine learning APIs: Vision API, Text-to-Speech API, Speech-to-Text API, Cloud Translation API, Cloud Natural Language API, and Video Intelligence API
- Perform Foundational Data, ML, and AI Tasks
- Insights from Data with BigQuery
- Create ML Models with BigQuery ML
- Engineer Data in Google Cloud
Software: We are going to use Google Cloud Platform in this session.
Software requirement:
If you are affiliate with academic, and having .edu email:
- Join the GoogleCloudReady program: Link to the form - https://goo.gle/us-gcrf-site
- enroll in the program with your edu email address. Choose Iowa State University as a "facilitator's institution".
If you do not have the .edu email address:
- Create a free trial on Google Cloud with your Gmail account. https://cloud.google.com/