Machine Learning

Machine learning is a branch of Artificial Intelligence or AI that focuses on developing systems and algorithms that lets a computer learn from data without being explicitly programmed for every task.

What is Machine Learning?

In simple terms, Machine Learning teaches systems to think and understand like humans by learning from the data that is being fed.

How Machine Learning Works?

Machine learning works through mathematical logic.The main premise of machine learning (ML) is that if you optimize a model’s performance on a dataset of tasks that adequately resemble the real-world problems it will be used for.

Types of Machine Learning

ML is mainly divided into three types: Supervised, Unsupervised and Reinforcement Learning; with two additional types, Semi-Supervised and Self-Supervised Learning.

Benefits and Limitations of Machine Learning

Machine learning can dominate the field of AI: it provides the backbone of most modern AI systems, from forecasting models to autonomous vehicles to large language models (LLMs) and other generative AI tools.

Upskilling in areas like these digital trends will be crucial for navigating the complexities of the digital age and also to build your career in tech.