| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| machine learning catastrophic forgetting | 0.37 | 0.7 | 3797 | 20 | 40 |
| machine | 0.5 | 0.1 | 3409 | 24 | 7 |
| learning | 0.67 | 0.5 | 1213 | 72 | 8 |
| catastrophic | 1.15 | 0.9 | 5831 | 49 | 12 |
| forgetting | 0.37 | 0.4 | 2700 | 86 | 10 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| catastrophic forgetting machine learning | 0.93 | 0.5 | 3859 | 78 |
| catastrophic forgetting deep learning | 1.53 | 0.9 | 3025 | 48 |
| forecasting machine learning algorithms | 0.29 | 0.7 | 5959 | 12 |
| target losses in machine learning | 1.31 | 0.6 | 9519 | 17 |
| forecasting with machine learning | 0.73 | 0.4 | 7607 | 13 |
| machine learning forecasting projects | 1.49 | 0.2 | 926 | 9 |
| loss in machine learning | 0.97 | 0.5 | 1319 | 31 |
| machine learning and forecasting | 1.04 | 0.7 | 5109 | 21 |
| forecasting techniques in machine learning | 1.01 | 0.9 | 4993 | 61 |
| log loss in machine learning | 1.81 | 0.4 | 9348 | 16 |
| focal loss in machine learning | 0.24 | 0.5 | 8321 | 74 |
| machine learning forecasting methods | 0.29 | 0.7 | 1335 | 30 |
| failure prediction using machine learning | 0.11 | 1 | 8334 | 53 |
| how to avoid machine learning pitfalls | 1.55 | 0.7 | 2023 | 23 |
| catastrophic forgetting in ontology | 1.54 | 1 | 1831 | 88 |
| machine learning forecasting models | 1.2 | 0.3 | 2703 | 42 |
| loss in deep learning | 1.68 | 0.1 | 6420 | 14 |
| deep learning for forecasting | 1.13 | 0.7 | 9248 | 76 |
| overcoming catastrophic forgetting in neural | 0.61 | 0.3 | 2507 | 75 |
| deep learning loss not decreasing | 0.71 | 0.7 | 5438 | 21 |
