Unless you have been living in a cave in the past 2 years, you have heard of AutoML. And depending on where you have heard it from, it can be the best thing ever happened to data science, the evil invention that will put thousands of data scientists out of their jobs, or anything in between. In this episode, we talk about the state of the art AutoML, what is hype versus what is reality, how to think about it practically, and how you can get started with AutoML in your team. If you like this podcast, you will like our free guides. We take the most popular topics from past episodes - this can be job hunting misconceptions for data scientists, top mistakes in data science team communications, understanding AutoML in plain English, and many other topics. We condense each topic into a short PDF, which you can use as a quick reference in your daily work to practice skills and develop strong intuitions on these topics. You can get these free guides at www.nds.show.