SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

More information: Eitan Fass et al, Machine learning models based on hyperspectral imaging for pre-harvest tomato fruit quality monitoring, Computers and Electronics in Agriculture (2024). DOI: 10 ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...