Understanding the need for AutoML
If you have never worked with any AutoML framework before, you might be wondering what AutoML is and when and how it can be useful.
AutoML simplifies the machine learning model development process by automating various tasks. It automatically generates baseline models tailored to your specific datasets and even offers preconfigured notebooks to kickstart your projects. This is particularly appealing to data scientists of all levels of expertise because it saves valuable time in the initial stages of model development. Instead of manually crafting models from scratch, AutoML provides a quick and efficient way to obtain baseline models, making it a valuable tool for both beginners and experienced data scientists alike.
AutoML makes machine learning not only accessible to citizen data scientists and business subject matter experts. AutoML, while undoubtedly a powerful tool, also grapples with significant limitations. One notable challenge is its...
