Today it was made official. I am a Google Developer Expert in Machine Learning. This should allow me to grow exponentially and give me so many more resources to help spread what I know.
While looking through all of the content from TensorFlow Dev Summit I saw that TensorFlow had created a DevPost challenge. As I have been talking with my friends about creating a machine learning project to help predict scores in college basketball I decided I would enter to see what would happen.
Here is my submission: https://devpost.com/software/basketball-scout
In 2 future posts I will explain what went into building this project.
Video 3: Environment Setup.
In this video I walk through the commands that are needed to be able to create a new python environment. I had to do this with the TensorFlow v2 testing I have been doing.
The TensorFlow team was able to get the probability library working with the nightly TFv2 builds. Because of that, I updated the Monte Carlo notebook. The only difference is that I can actually use the library instead of using the ‘compat’ namespace.