Unsupervised Learning, Clustering, K Means, Lda, Topic Modeling.
Let’s assume the dog is sick. Given the current state, there is a 0.6 chance it will continue being sick the next hour, 0.4 that it is sleeping, 05 pooping, 0.1 eating and 0.4 that it will be healthy again. In an HMM, you provide how many states there may be inside the timeseries data for the model