Machine learning is a specialty in computing that seeks to aid computers to learn without the need for the computers to be programmed. In 1958, machine learning terminology was created. The two main fields of artificial intelligence, namely pattern recognition and computational learning are extensively used in this field. It explores the study as well as the construction of algorithms which can learn and also make predictions depending on the available data. Basically, machine learning focuses on learning through computer use. There are minor dissimilarities between machine learning and computational statistics despite the fact that the two are closely related.
Internet of things is basically the connectivity of the physical devices that we use on a daily basis. Smart devices and electronics in a building are some of the things that constitute an IOT. The main focus for IOT is to create connections between devices in order to simply sharing of data. The devices that are included for data sharing must have a protocol that can be used to control their access. This therefore brings about opportunities for direct integration of the physical world into computer based systems, thus increasing accuracy, efficiency, and other economic benefits. Prospects are that in the near coming years more and more devices will be added to the IOT all around the world.
Artificial intelligence is the kind of intelligence that is showcased by machines which are different from animal and human’s natural intelligence. It usually involves the simulation of functions that can only be performed by human such as recognition and learning. Such learning can involve a machine learning and understanding human speech, competing in high-level games such as chess with humans, simulations in military training and others like taking part in autonomous cars.
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All these three fields in computer science are closely related. There is interdependence to efficient results at work. This is why there is no way artificial intelligence is going to work without machine learning and internet of things. The three fields are now being researched widely since they are causing technological advancements in a big buzz. This is especially because of how they can be essential in predicting crimes and accidents. They are also very important as they have enabled optimized productivity in the many industries out there.
We currently have plenty of firms that are offering consulting services in these three areas. This has also been as the need for automation in all the industries in the market. This has therefore created a need for all industries to adapt to the three fields since it is the only way that technology is advancing to. The only key to surviving the market is companies adapting to the changes brought about by the three fields.