Machine Learning

Machine Learning definition: Machine Learning is a branch of artificial intelligence that allows systems to automatically learn patterns from data and make predictions or decisions.

What is Machine Learning?

It focuses on building algorithms that adapt and improve through experience, making it essential for data-driven applications and digital roles across industries.

How Machine Learning Works?

Machine Learning works by training models on large datasets. These models analyse patterns, adjust parameters, and generate outputs that improve accuracy over time.

Types of Machine Learning

The main types are supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning.

Benefits and Limitations of Machine Learning

Benefits include automation, accuracy, and scalability. Limitations include data dependency, bias, and high computational requirements.

Machine Learning plays a vital role in today’s technology landscape and is a key skill for those exploring how to get a job in tech and build future-ready digital jobs careers.