Machine Learning and Artificial Intelligence: A Quick Introduction 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. The term was coined by the same person who defined what it is in 1959. The process of machine learning usually entails pattern recognition and computational learning which are all fields of artificial intelligence. Here, existing data is used in special algorithms to learn and make suitable predictions. The use of a computer is the backbone of machine learning. There are minor dissimilarities between machine learning and computational statistics despite the fact that the two are closely related. The interrelationships that exist between the devices that we use on our day to day basis is called IOT. 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. there is need to create access controls for devices that need to be used in IOT. This therefore brings about opportunities for direct integration of the physical world into computer based systems, thus increasing accuracy, efficiency, and other economic benefits. There are estimates by experts that in the year 2020, internet of things will comprise of 30 billion objects.
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Artificial Intelligence, also known as AI, can be defined as that intelligence machines possess that is different from human and animal natural intelligence. Artificial intelligence is when a machine imitates functions which are cognitive, that can only be associated with other human minds such as problem-solving as well as 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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These three fields in computer science have a very close relation. This close relation has also led to the dependence on each other for efficiency in work. For instance, Internet of Things won’t work without artificial intelligence. These three fields are currently the most researched as they are pushing technology changes with a buzz. This is especially because of how they can be essential in predicting crimes and accidents. They are also useful in enabling optimized productivity across the many industries that we have. We currently have plenty of firms that are offering consulting services in these three areas. This is due to the fact that there is a need for automation in each and every industry out there. There is therefore a need for industries to adapt to the three fields as it is the only way that technology is heading. The only key to surviving the market is companies adapting to the changes brought about by the three fields.