Machine learning and artificial intelligence are two hot topics in the tech world. But what exactly are they? And what’s the difference between them? In this blog post, we’ll explore the differences between machine learning and artificial intelligence.
Machine learning and artificial intelligence are often used interchangeably, but there is a big difference between the two.
Machine learning is a subset of artificial intelligence that deals with the ability of machines to learn from data. Artificial intelligence, on the other hand, is the broader field that deals with the ability of machines to perform tasks that would normally require human intelligence, such as understanding natural language and recognizing objects.
Decoding Artificial Intelligence
The concept of artificial intelligence (AI) refers to the simulation or approximation of human intelligence by machines. The goals of artificial intelligence include computer-enhanced learning, reasoning, and perception. AI is being used today across different industries from finance to healthcare.
Decoding Machine Learning
A key component of data science is machine learning. In data mining projects, algorithms are trained using statistical methods to make classifications or predictions. Decision-making within applications and businesses is then driven by these insights, ideally impacting key growth metrics. There will be an increase in the demand for data scientists as big data expands and grows. In order to answer the most pertinent business questions, they will need to identify the most relevant data.