Imagine a scenario where multiple instruments play simultaneously, and you want to isolate the sound of each instrument. Which algorithm would be most appropriate for this task?
- Independent Component Analysis
- Principal Component Analysis
- k-Means Clustering
- Decision Trees
Independent Component Analysis (ICA) is a suitable technique for sound source separation. It can disentangle mixed sound signals into their original sources.
Loading...
Related Quiz
- The ability of SVMs to handle non-linear decision boundaries is achieved by transforming the input data into a higher-dimensional space using a ______.
- Decision Trees often suffer from ______, where they perform well on training data but poorly on new, unseen data.
- In the context of GANs, the generator tries to produce fake data, while the discriminator tries to ________ between real and fake data.
- In the context of healthcare, what is the significance of machine learning models being interpretable?
- How do activation functions, like the ReLU (Rectified Linear Unit), contribute to the operation of a neural network?