In our previously published articles, we talked about basics of Artificial Intelligence and many related things like Fuzzy Logic, Deep Learning etc. Artificial Intelligence is an Umbrella Terminology to Describe Human Intelligence Exhibited by Machines. Machine Learning is using algorithms to parse data, learn, and predict at basic form. In this article, we will discuss the difference between Artificial Intelligence and Machine Learning in easy, plain language.
Difference Between Artificial Intelligence and Machine Learning
Artificial Intelligence was towards a sci-fi concept. Compared to humans, existing Artificial Intelligence lacks human commonsense reasoning. Frankly, we need to “feed” a machine “knowledge” as data and provide algorithms to analyze it and from analysis complete goal.
Machine learning is part of Artificial Intelligence, which is the study of computer algorithms that improve automatically through experience. Machine learning terminology was coined in 1959 by Arthur Samuel which evolved from the study of pattern recognition and computational learning theory in artificial intelligence.
Learning can be unsupervised learning or supervised learning. Another type of learning is reinforcement learning. The mathematical analysis of machine learning algorithms and their performance is known as computational learning theory. Most problems machines expected to solve require knowledge. We can divide knowledge is ontology (set of objects, relations, concepts, and properties). Natural language processing (NLP) gives machines the ability to read and understand human language. Example straightforward application of natural language processing is text mining, machine translation.
“The development of full artificial intelligence could spell the end of the human race. Once humans develop artificial intelligence, it will take off on its own and redesign itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded.”
— Stephen Hawking
Honestly, at present we deal with data science and algorithms not real sci-fi quality Artificial Intelligence. We use various things to create connected Connected Vehicle a practical solution.
Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Deep learning is part of a broader family of machine learning methods based on learning data representations.