In today’s digital age, terms like machine learning, deep learning, and AI are often used interchangeably, leading to a common misconception that they all mean the same thing. However, these terms have distinct technical differences that are important to understand. This article aims to explore these terms in detail, but feel free to check out the video above as well.
What is machine learning and deep learning?
Machine learning is a subfield of computer science that emphasizes the development of algorithms and statistical models. These models enable computers to perform tasks without explicit instructions, relying instead on patterns and inference. Unlike traditional computer programs where you specify the steps, machine learning presents examples from which the system learns, deciphering the relationship between different elements in the example.
What is machine learning and deep learning?
Machine learning is a subfield of computer science that emphasizes the development of algorithms and statistical models. These models enable computers to perform tasks without explicit instructions, relying instead on patterns and inference. Unlike traditional computer programs where you specify the steps, machine learning presents examples from which the system learns, deciphering the relationship between different elements in the example.
