Supervised learning is the machine learning task of inferring a function from labeled training data.
I would like to study the optimal tradeoff between bias/variance for model tuning. I'm using caret for R which …
r plot machine-learning supervised-learningI have been working through the concepts of principal component analysis in R. I am comfortable with applying PCA to …
machine-learning pca supervised-learning principal-componentsAll the examples I can find of making predictions using random forests already have the actual answers (i.e. the …
r random-forest supervised-learningI am not sure how to do the prediction for some new data using trained Gaussian Mixture Model (GMM). For …
matlab machine-learning gaussian supervised-learning mixture-modelI was reading the papers on deep learning. Most of them refer to unsupervised learning. They also say the neurons …
machine-learning neural-network deep-learning supervised-learningI am working on a classification problem using CNN where my input image size is 64X64 and I want to …
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