Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) and Machine Learning are two very hot buzzwords right now, and often seem to used interchangeably.
You can think of machine learning and artificial intelligence as a set of Russian dolls nested within each other, beginning with the smallest and working out. Machine learning is a subset of AI, which is an umbrella term for any computer program that does something smart. In other words, all machine learning is AI, but not all AI is machine learning, and so forth. After all, it’s been a popular focus in movies such as The Terminator, The Matrix, and Ex Machina.
Artificial Intelligence:
“For the present purpose the artificial intelligence problem is taken to be that of making a machine behave in ways that would be called intelligence if a human were so behaving.”
In simplest terms artificial intelligence is a broad term that describes machines programmed to think, work, and react like human. AI can be classified two ways based on the sophistication of the technology, 1) Applied AI, 2) Generalized AI.
Sometimes referred to as narrow or weak AI Applied AI is when machines are designed to manage specific tasks. This is the most common form of AI we see today, such us software designed to recognize images or trade stocks.
Also known as artificial general intelligence, Generalized AI covers technology that can evolve and improve to handle any task. It’s an emerging area of AI, and it brings us to machine learning.
Machine Learning:
“The ability to learn without being explicitly programmed.”
Machine learning is a subset of AI it is one way of achieving artificial intelligence.
Machine learning is the science of training devices or software to perform a task and improve is apabities by feeding it data and information so it can learn over time.
All machine learning is AI, but not all AI is machine learning. For example, a chatbot coded based on rules based systems and complex decision trees is AI, but not machine learning. A chatbot designed with machine learning capabilities would be able to learn new terms and questions and adopt to serve up most appropriate answers.
