Today we’re seeing revolutionary changes in hardware and software that are democratizing machine learning and making it accessible to any developer or data scientist. Whether you’re new to ML or you’re already an expert, Google Cloud has a variety of tools to help you. We’ll start with the basics: how to use a pre-trained model with a single API call. Then we’ll look at how to train models on your own custom data. Finally, you’ll learn how to get more insight into how your models are making predictions. Throughout the presentations you’ll see live demos of these tools in action.
Bio: Sara is a Developer Advocate for Google Cloud, focusing on machine learning. She inspires developers and data scientists to integrate ML into their applications through demos, online content, and events. Before Google, she was a Developer Advocate on the Firebase team. Sara has a Bachelor’s degree from Brandeis University. When she’s not writing code, she can be found on a spin bike or eating frosting.