Implementation questions about machine learning algorithms.
I recently started studying deep learning and other ML techniques, and I started searching for frameworks that simplify the process …
python c++ machine-learning tensorflowI can't give the correct number of parameters of AlexNet or VGG Net. For example, to calculate the number of …
machine-learning neural-network computer-vision vgg-netSuppose I'm working on some classification problem. (Fraud detection and comment spam are two problems I'm working on right now, …
machine-learningI know that principal component analysis does a SVD on a matrix and then generates an eigen value matrix. To …
machine-learning data-mining svdI am using LibSVM to classify some documents. The documents seem to be a bit difficult to classify as the …
machine-learning classification svm libsvmWhat is out of bag error in Random Forests? Is it the optimal parameter for finding the right number of …
language-agnostic machine-learning classification random-forestIn reinforcement learning, what is the difference between policy iteration and value iteration? As much as I understand, in value …
machine-learning reinforcement-learning markov-models value-iterationI have a data table ("norm") containing numeric - at least to what I can see - normalized values of …
r machine-learning cluster-analysis data-mining k-meansI'm in the second week of Professor Andrew Ng's Machine Learning course through Coursera. We're working on linear regression and …
machine-learning octave linear-regressionIn computer vision and object detection, the common evaluation method is mAP. What is it and how is it calculated?
machine-learning computer-vision detection metrics vision