Word embeddings are a foundational concept in Natural Language Processing (NLP), enabling models to represent words as dense vectors in high-dimensional space. These vectors capture semantic relationships such as similarity,….
Quantum computers work with qubits, which behave very differently from classical bits. However, our world is still classical — data from images, audio, text, financial markets, or DNA sequences is….
Clustering is one of the foundational methods in machine learning. It’s used to group similar data points together without needing labeled data—this is called unsupervised learning. Classical algorithms like k-means,….
