Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learning.
What is artificial intelligence and machine learning?
Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion. So I thought it would be worth writing a piece to explain the difference. AI is basically the intelligence – how we make machines intelligent, while machine learning is the implementation of the compute methods that support it. The way I think of it is: AI is the science and machine learning is the algorithms that make the machines smarter.
Do you know that chatbots work on the concept of AI (Artificial Intelligence) and machine learning?
In the coming days, we can presume that the role of chatbots and machine learning concepts will get wider than ever in the web world.
Globally, big names including Facebook, Google, Microsoft, and Twitter are investing a large amount in both AI and machine learning. In the coming years, web developers may need to include features or functionality powered by AI. It brings radical changes in the web development domain.