Md Anisur Rahman (@tanim)

ML\DL model Overfitting and Solutions

Hello 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...

Nov 28, 2023 · 3 min readanisurrahmansblog.hashnode.dev

Principal Component Analysis in ML

In 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 ...

May 7, 2023 · 2 min readanisurrahmansblog.hashnode.dev

gradient 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...

Apr 9, 2023 · 1 min readanisurrahmansblog.hashnode.dev

Naive Bayes Theorem

Pros: 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...

Feb 2, 2023 · 2 min readanisurrahmansblog.hashnode.dev

Machine 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...

Jan 30, 2023 · 1 min readanisurrahmansblog.hashnode.dev

Md Anisur Rahman

About

Available for

Md Anisur Rahman's blogs

ML\DL model Overfitting and Solutions

Principal Component Analysis in ML

gradient vanishing problem in Back propagation of Artificial Neural Network:

Naive Bayes Theorem

Machine learning (SVM)

Md Anisur Rahman

About

Available for

Md Anisur Rahman's blogs

ML\DL model Overfitting and Solutions

Principal Component Analysis in ML

gradient vanishing problem in Back propagation of Artificial Neural Network:

Naive Bayes Theorem

Machine learning (SVM)

Md Anisur Rahman

About

Available for

Md Anisur Rahman's blogs

ML\DL model Overfitting and Solutions

Principal Component Analysis in ML

gradient vanishing problem in Back propagation of Artificial Neural Network:

Naive Bayes Theorem

Machine learning (SVM)

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Md Anisur Rahman

About

Available for

Md Anisur Rahman's blogs

ML\DL model Overfitting and Solutions

Principal Component Analysis in ML

gradient vanishing problem in Back propagation of Artificial Neural Network:

Naive Bayes Theorem

Machine learning (SVM)