Gradient Descent in Machine Learning - Overview

Gradient descent is an optimization algorithm used to find the minimum of a function—typically a cost function or loss function in machine learning.

2025, Apr 09   —  8 minute read

Merkle DAGs(IPFS, GIT) - Overview

Learn what a Merkle DAG is and how it used in distributed systems like IPFS and Git. This overview explains the structure, key benefits, and use cases of Merkle DAGs in content-addressed storage and version control.

2025, Apr 09   —  6 minute read

Multicall in Solidity: CALL vs DELEGATECALL Explained

Discover how Multicall enables batch execution of smart contract calls, when to use CALL vs DELEGATECALL, and how contract interactions differ from EOAs.

2025, Apr 03   —  12 minute read

Bitcoin Keys 102: How Wallets Generate Seed Phrases and Private Keys

This article is a deep dive into the generation of private keys until obtaining a public address through the main related BIPs - BIP-32 and BIP-39

2025, Mar 27   —  4 minute read

ERC-721 (NFT) Overview: Implementation, Security, and Best Practices

This article presents a global overview of ERC-721 standard (NFT), covering its core functions, metadata, and security best practices and to build it with OpenZeppelin.

2025, Mar 03   —  10 minute read

Rust for Solana - Basic knowledge

This article explains the basic knowledge of Rust to understand and write Solana Programs

2025, Feb 10   —  8 minute read

K-Nearest Neighbor (KNN) Algorithm - Overview

This article explains the difference between supervised and unsupervised learning in Machine Learning with several examples.

2025, Feb 10   —  7 minute read