1 INTRODUCTION  

2 PRELIMINARIES  

3 TAXONOMY, EVALUATION METRICS AND TARGETS OF THE MACHINE UNLEARNING  

4 DATA-DRIVEN MACHINE UNLEARNING  

5 MODEL-BASED MACHINE UNLEARNING  

6 PARAMETER-TUNING LARGE LANGUAGE MODEL UNLEARNING  

7 PARAMETER-AGNOSTIC LARGE LANGUAGE MODEL UNLEARNING  

8 CHALLENGES AND THE FUTURE OF MACHINE UNLEARNING  

9 CONCLUSION