Automated Machine Learning has become a topic of considerable interest over the past year. It has been generating notable interest and gaining respect. In this talk, I will discuss the following:

1. The challenges that companies face today while finding the best ML solution

2. How auto-ml is solving the above challenge?

3. What do we call auto-ml?

4. Development of auto-ml library:

– Focus on the Pipeline

– Issues, choices, …

5. Overview on the existing solution: MLBox as a full automated tool & open source package