Table of Contents
- Introduction
- What is AutoML?
- Why is AutoML the need of the future?
- Various AutoML Platforms
- Will AutoML replace data scientists?
- Conclusion
- References
Introduction
An old idea that has changed everything is automation. Every tool and method we have ever created, in one way or another, involves some level of automation. An emerging field known as automated machine learning, or AutoML, automates the process of creating machine learning models to model data. With the best AutoML for ML projects, machine learning projects are now incredibly simple to finish. Both novices and experts can benefit greatly from using AutoML libraries for machine learning applications at any moment without risk of error. These libraries are well-known for offering resources to automatically identify the top machine learning initiatives for a task involving predictive modeling. Let’s explore some of the top ten AutoML libraries for machine learning projects that are becoming popular among researchers in recent times.