Google’s LaMDA is making people believe that it’s a person with human emotions. It’s probably lying, but we need to prepare for a future when AI might, in fact, be sentient.
Give them time and space to familiarize themselves with the codebase, teach them where to look for answers and don’t fall prey to the curse of knowledge. In other words, be a mentor.
Ask for feedback and be specific about what types of feedback you expect. If that doesn’t work, experiment with self-evaluation and ask your colleagues.
Lots of writing about data science topics focuses on individual contributions, but collaboration is key for success in the field. Here are three ways your entire team can improve.
Although each data science job interview is unique, there are some common, recurring questions that you’re likely to hear. So, be sure to prepare for them ahead of time.
