On the podcast this week, we have a great interview with Google Developer Advocate, Dale Markowitz. Aja Hammerly and Jon Foust are your hosts, as we talk about machine learning, its best use cases, and how developers can break into machine learning and data science. Dale talks about natural language processing as well, explaining that it’s basically the intersection of machine learning and text processing. It can be used for anything from aggregating and sorting Twitter posts about your company to sentiment analysis.
For developers looking to enter the machine learning space, Dale suggests starting with non life-threatening applications, such as labeling pictures. Next, consider the possible mistakes the application can make ahead of time to help mitigate issues. To help prevent the introduction of bias into the model, Dale suggests introducing it to as many different types of project-appropriate data sets as possible. It’s also important to continually monitor your model.
Later in the show, we talk Google shop, learning about all the new features in Google Translate and AutoML.Dale Markowitz
Dale Markowitz is an Applied AI Engineer and Developer Advocate for ML on Google Cloud. Before that she was a software engineer in Google Research and an engineer at the online dating site OkCupid.Cool things of the week
How many different ways can you run a container on GCP?
Jon will be at the internal Google Game Summit and visiting Montreal.
Aja will be holding down the fort at home.Sound Effect Attribution