Introduction to ML
ML is a field of study that focuses on the development of algorithms and models that enable computer systems to learn and make predictions or decisions without being explicitly programmed. It is a subset of artificial intelligence (AI) that aims to provide systems with the ability to automatically learn and improve from data and experience.
In today’s world, where vast amounts of data are being generated at an unprecedented rate, ML plays a critical role in extracting meaningful insights, making accurate predictions, and automating decision-making processes. As data grows, machines can learn the patterns better, thus making it even easier to gain insights from this data. It finds applications in various domains, including finance, healthcare, marketing, image and speech recognition, recommendation systems, and many more.
The key concepts of ML
To understand ML, it is important to grasp the fundamental concepts that underpin its methodology.
