Riya Singh - OpenGenus IQ: Computing Expertise & Legacy

Variance in DL

In deep learning, variance refers to the variability or inconsistency of the model's performance when trained on different subsets of the training data. A high variance model is one that overfits to the training data and does not generalize well to unseen data.

Deep Learning

Knowledge Distillation in DL

In this article, we have explored the concept of Knowledge Distillation in Deep Learning.

Deep Learning

XLNet model architecture

In this article, we have explored architecture of XLNet model in depth. It is a popular NLP based Neural Network.

Machine Learning (ML)

Benford's Law in ML

In this article, we have explored Benford's Law and the use of it in the field of Machine Learning. This is one of the core ML laws you must master.

C++

Read and Write in CSV File in C++

In this article, we have explored how to read and write from a CSV file in C++ Programming Language. We have illustrated the process using C++ code examples.

Python

Matrix Multiplication in Python (with and without Numpy)

In this article, we will understand how to perform Matrix Multiplication in Python programming language. We have covered two approaches: one using Numpy library and other is a naive approach using for loop.

C++

Fabs and abs in C++

In this article, we have explained the fabs and abs functions in C++ Programming Language which are used to get the absolute value of different numeric values. We have compared the differences between fabs and abs as well.