Machine Learning (ML): ML involves algorithms that learn from data and make predictions based on patterns in the data. It does not require large amounts of data and can operate on traditional computational methods. Deep Learning (DL): DL is a subset of ML that uses neural networks with many layers (hence ”deep”) to learn from large amounts of unstructured data. It is particularly useful in tasks like image and speech recognition but requires more data and computational power.
| Case No. | Lens | Focal Length | Object Distance |
|---|---|---|---|
| 1 | \(A\) | 50 cm | 25 cm |
| 2 | B | 20 cm | 60 cm |
| 3 | C | 15 cm | 30 cm |