Machine learning is a field, actually, a subfield of computer science which as defined by one person, gives computers the ability to learn with no need of being programmed. This terminology was first used in 1958. The two main fields of artificial intelligence, namely pattern recognition and computational learning are extensively used in this field. This process makes use of algorithmic approaches to learn and make predictive suggestions based on existing data. The use of a computer is the backbone of machine learning. Although this field is closely related to computational statistics, there are minor differences between the two.
Internet of things is basically the connectivity of the physical devices that we use on a daily basis. The commonest things that can be included in an IoT may include smartphones or electronics in a building. IOT works on the premise of bringing together devices for purposes of data sharing. With Internet of Things, there is the permission from objects to be sensed or controlled remotely from the same network or infrastructure. With IOT, business operations become more efficient and accurate since the physical world can be incorporated into computer systems. There are estimates by experts that in the year 2020, internet of things will comprise of 30 billion objects.
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. Another importance of the three fields is that they have enabled optimization in productivity in our industries.
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. Therefore, a need has arisen which has brought about the need to make use of these three fields; machine learning, artificial intelligence, and internet of things as this is the only way that technology is advancing to. For companies wishing to advance, they have to take these three fields seriously.