Blogs page 2

The concepts of linear regression, classification, clustering, and Hidden Markov Model (HMM) represent different types of machine learning algorithms or models.

In machine learning, tensors are crucial multi-dimensional arrays for data representation and manipulation in diverse algorithms.

Machine learning encompasses supervised, unsupervised, reinforcement, semi-supervised, and self-supervised learning paradigms, each tailored for specific tasks and objectives.

Discover how to improve your development workflow and collaboration with the power of Git Flow.

DRY stand for Don't Reat Yourself, it is one of fundamental programming principles.