From movies like I, Robot and the Transformers series to having Siri on our iPhones, we are constantly exposed to the idea and presence of artificial intelligence. Our world is quickly moving towards having more and more technology that can interact with humans on an almost human level. Machine Learning is a subfield of computer science that is derived from pattern recognition and computational learning theory. Machine learning explores the making of algorithms that can learn and make predictions from data in the same way humans do when we think.
Artificial intelligence is a version of Machine learning and is defined as being, “the theory and development of computer systems able to perform tasks that normally require human intelligence”. Algorithms like this usually build a model from example inputs from the user to use to make predictions and decisions. Machine learning is often used to predict in commercial use in another subfield known as predictive analytics. This allows engineers and financial analysts to uncover hidden insights through understanding the trends in the data for use in many financial situations.
Machine learning is categorized into three different subsets: Supervised learning, Unsupervised learning, and Reinforcement learning. Supervised learning is when the user inputs both example inputs into the computer and the desired outputs and the computer is tasked with learning a general rule that maps the inputs and outputs. On the other hand, Unsupervised learning is when no label is given to the program and the algorithm has to find structure in its input. Finally, Reinforcement learning is when the program interacts with the environment to reach a certain goal without the guidance of the user. All three types of Machine learning are very common and are used on many of our computational devices. If you would like to learn more about artificial intelligence please feel free to check my references below as they are very helpful with explaining the different concepts and even the history behind artificial intelligence.
References:
http://softwarefocus.net/technology/ten-misconceptions-about-artificial-intelligence.html
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