Introduction:
Artificial intelligence (AI) and machine learning are two terms that are often used interchangeably. The truth is that they're not the same thing, but many people still believe they are. So what's the difference between artificial intelligence and machine learning? And why do people keep saying "AIs" instead of "MLs"? Here's everything you need to know about these terms!
The term Artificial Intelligence is used to describe a computer system capable of intelligent behaviour. Artificial Intelligence is a broad term describing any computer system capable of intelligent behaviour. AI is not a specific technology, technique or application; it's more like the general classification of "artificial intelligence" for all machines that exhibit some cognitive abilities.
AI can be applied in many different ways—from autonomous cars and drones to intelligent chatbots and virtual assistants—but there's no one thing called AI (except maybe by those who want you to believe they don't know what they're talking about about about about.)
Machine learning is a subset of artificial intelligence:
Machine learning is a subset of artificial intelligence, but it's not the same.
Machine learning is a form of AI that uses algorithms to learn from data and make predictions based on that information. An excellent example of this would be Google's self-driving cars, which use machine learning to navigate streets without human assistance. In fact, Google even has an entire page dedicated to explaining how their vehicles work!
The main difference between the two terms is that AI refers to a broader concept while ML is only one of the many tools used in AI.
The main difference between the two terms is that AI refers to a broader concept while ML is only one of the many tools used in AI. When we talk about machine learning, we're talking about a specific type of algorithm used for data processing. In other words, it's an algorithm used for classification tasks or regression problems where some training data must be provided by humans (or another source).
The tools used in AI and machine learning include:
- Artificial neural networks (ANNs) – These are modelled after neurons in our brains and are composed of layers which connect with each other through simple mathematical equations. They have been used since the 1950s but have recently become popular again as computer technology has become more powerful over time; however, they still need lots more research before they can be fully understood so don't expect them anytime soon!
Artificial intelligence and machine learning are linked but different.
Artificial intelligence and machine learning are linked but different.
AI is a broader term that describes any computer program that can perform tasks similar to human intelligence, like recognizing objects in photos and understanding spoke language. Machine learning uses AI techniques to improve upon standard statistical techniques like regression and data analysis, which rely on hand-coded rules to model certain aspects of the world around us (like how much money you should spend on groceries). ML is just an umbrella term for all those technologies; it's simply another way of saying “machine learning” or “artificial intelligence."
Conclusion:
So there you have it! The key difference between artificial intelligence and machine learning is that AI refers to a broader concept while ML is only one of the many tools used in AI. If you want to learn more about these topics or want to get involved with them, check out our blog or contact us at planafuturehost@gmail.com.
