How Google does Machine Learning
This is part of the Machine Learning with TensorFlow on Google Cloud Platform Specialization
What is machine learning, and what kinds of problems can it solve?
Google thinks about machine learning slightly differently — of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models.
Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.
- Frame a business use case as a machine learning problem.
- Gain a broad perspective of machine learning and where it can be used.
- Convert a candidate use case to be driven by machine learning.
Skills: Application Programming Interfaces (API), Inclusive ML, Machine Learning, Google Cloud Platform, Bigquery