1 INTRODUCTION

2 SUPERVISED LEARNING PROBLEM DEFINITION

3 TYPES OF UNCERTAINTY SOURCE

4 APPLICATION DOMAINS

5 A TAXONOMY OF DNN UQ METHODOLOGY

6 UNCERTAINTY ESTIMATION IN VARIOUS MACHINE LEARNING PROBLEMS

7 FUTURE DIRECTION

8 CONCLUSION