1 INTRODUCTION

2 AUTOMATED DATA PROCESSING IN MACHINE LEARNING PIPELINES

3 AUTOMATED DATA PREPROCESSING

4 AUTOMATED DATA AUGMENTATION

5 AUTOMATED FEATURE ENGINEERING

6 HOLISTIC, END-TO-END WORKFLOW OF DATA PROCESSING IN MACHINE LEARNING

7 GENERIC AUTOML TOOLS FOR DATA PROCESSING AND FEATURE ENGINEERING

8 IMPLICATIONS FOR INDUSTRY AND COMMERCE

9 DISCUSSIONS

10 CONCLUSION