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Bookmark or Share- logistic - Probabilistic classification and loss functions - Cross ...Differences between probabilistic regression + threshold and classification? 1 Logistic regression model selection using misclassification rate in forward selection
- What is the difference between regular PCA and probabilistic PCA ...The goal of PPCA is not to give better results than PCA, but to permit a broad range of future extensions and analysis.
- What's the difference between probability and statistics?One could say that statistics comprises of two parts. The first part is the question of how to formulate and evaluate probabilistic models for the problem; this endeavor lies within the domain of "philosophy of science". The second part is the question of obtaining answers after a certain model has been assumed.
- What is the importance of probabilistic machine learning?In terms of your specific question, Zoubin Ghahramani, another influential proponent of probabilistic ML, argues that the dominant frequentist version of ML--deep learning--suffers from six limitations that explicitly probabilistic, Bayesian methods often avoid: very data hungry; very compute-intensive to train and deploy
- machine learning - Probabilistic programming vs "traditional" ML ...Edit 2: it seems that probabilistic is getting popular for time series modeling, where deep learning doesn't seem as effective as in other domains. Edit 3 (December 2020): probabilistic programming is now becoming much more popular in a wide variety of domains, as probabilistic programming languages get better and the solvers get better and faster.
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