by Suf | Nov 13, 2024 | Data Science, Machine Learning, PyTorch
PyTorch provides a variety of tensor operations, and understanding the differences between torch.mm, torch.matmul, and torch.mul is essential when working with tensor computations. Although they might look similar, these functions serve different purposes and operate...
by Suf | Oct 22, 2024 | Data Science, DSA, Programming, Searching Algorithms
Introduction Interpolation Search is an efficient search algorithm for uniformly distributed, sorted datasets. While binary search divides the search range in half each time, interpolation search goes a step further by estimating the position of the target value based...
by Suf | Oct 2, 2024 | Data Science, DSA, JavaScript, Programming, Tips
Merge Sort is one of the most efficient sorting algorithms, especially for large datasets. It’s based on the divide and conquer approach, making it faster than simple algorithms like Bubble Sort or Selection Sort. This post will explore how to implement Merge Sort in...
by Suf | Sep 30, 2024 | C++, Data Science, DSA, Programming, Tips
Bucket Sort is a sorting algorithm that distributes elements into a number of “buckets,” sorts the elements within those buckets, and then concatenates the buckets to form the final sorted array. It’s particularly efficient when the input is uniformly...
by Suf | Sep 26, 2024 | C++, Data Science, Programming, Tips
Introduction Distance calculations are fundamental in many domains, such as machine learning, statistics, and data analysis. Mahalanobis distance stands out for its ability to measure the distance between a point and a distribution, accounting for correlations between...
by Suf | Sep 24, 2024 | C++, Data Science, Programming, Tips
The Hamming distance measures the difference between two strings of equal length, typically used for binary sequences. It counts the number of positions where the corresponding bits or characters differ. This distance is widely used in error detection and correction...
