Summary
Most data scientists today are bogged down in the implementation details or are implementing suboptimal algorithms. This leaves them with less time to understand the problem and to search for optimal algorithms or their hyperparameters. This book will show you how to take your game to the next level and let the software do the repetitive work.
In this chapter, we covered what a typical data science process is and how DataRobot supports this process. We discussed steps in the process where DataRobot offers a lot of capability and we also highlighted areas where a data scientist's expertise and domain understanding is critical (areas such as problem understanding and analyzing the impacts of deploying a model on the overall system). This highlights an important point in that success comes from the combination of skilled data scientists and analysts and appropriate tools (such as DataRobot). By themselves, they cannot be as effective as the combination. DataRobot enables...
