An introduction to Google’s pretrained ML APIs.
I’m a computer science student pursuing an analytics career. Learn more about me here.
I began studying analytics in late 2017. Since then, I've become convinced of two things:
- The rate at which society generates data is increasing, as is demand for people with analytics skills.
- This work is complex and multifaceted. New techniques, tools, and methodologies are developed every day.
If you'd like to connect, there are several ways of reaching out to me near my avatar photo (top left).
An overview of APIs and discussion of API release policies, uses, paradigms, and a few simple examples of API calls.
An introduction to Cloud Datalab and BigQuery.
A brief introduction to Google’s development and data handling services, available via the Cloud platform.
Discussion of how ML models can amplify unconscious human biases, and presents a few techniques for mitigating the problem.