A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box!

Understand how the Adagrad optimizer works and build it from scratch in Python—step-by-step and beginner-friendly.

Get here detailed CBSE Class 11 Computer Science Syllabus reduced, deleted, chapter-wise, marking scheme, weightage, paper ...

In this paper, a fast PU skip and split termination algorithm is proposed. The proposed method consists of three algorithms: 1) early skip; 2) PU skip; and 3) PU split termination. The early skip ...

Doing hackerrank python challenges regularly makes you a better problem solver. Using the HackerRank community can give you ...

Abstract: This paper proposes a split-and-merge-based genetic algorithm (SM-GA) for converting a given 3-D voxel model into an LEGO brick sculpture using a minimal number of bricks. The proposed SM-GA ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

Generates a QR code image based on user-provided input. A simple game where the user plays Rock, Paper, Scissors against the computer. The user inputs their choice, the computer randomly selects its ...