Episode description

This episode, Chris and Triveni take a look at the most common mistakes in AI, and the misconceptions that plague most data scientists as a result. We'll explore how perceptions of data quality, data quantity, and accuracy can impact data science in practice, and what steps you can take to avoid these pitfalls.

Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox!