MAMd Anisur Rahmaninanisurrahmansblog.hashnode.dev·Nov 28, 2023 · 3 min readML\DL model Overfitting and SolutionsHello ML enthusiast! My todays post is about "Overfitting" or high Variance of a model (both ML or DL) .So, Let's right jump into it. Sometimes ML model is trained with features from the data that are not necessarily co-related with the target vector...00
MAMd Anisur Rahmaninanisurrahmansblog.hashnode.dev·May 7, 2023 · 2 min readPrincipal Component Analysis in MLIn short,PCA(Principal Component Analysis) is a dimensional reduction technique used for high dimensional dataset(i.e many columns) , it's basically taking a snap shot of the dimension of data from an angle so that we can capture the max varience of ...00
MAMd Anisur Rahmaninanisurrahmansblog.hashnode.dev·Apr 9, 2023 · 1 min readgradient vanishing problem in Back propagation of Artificial Neural Network:- in a back propagation,we use Relu (Rectified linear unit) activation function more then Sigmoid function but why? -before I explain,i hope you know the derivation of sigmoid function is ranging between 0 to 0.25. so in a multi hidden layer neural n...00
MAMd Anisur Rahmaninanisurrahmansblog.hashnode.dev·Feb 2, 2023 · 2 min readNaive Bayes TheoremPros: The theorem is very crucial for computationally intensive problems, handling missing data or irrelevant features Cons: As the algorithm assumes that the feature or relation between variables are independent it sometimes cause inaccuracy as in r...00
MAMd Anisur Rahmaninanisurrahmansblog.hashnode.dev·Jan 30, 2023 · 1 min readMachine learning (SVM)It took me a while to totally understand the concept of Support vector Machine, which is mainly used for supervised data to classify or regression . In short it's a line(for (2D)) or hyperplane(n_dimension) that separates the plot(or points in the pl...00
