Machine Learning

The first learning theory was approached by the theorist Pavlov. The theory he approached was classical conditioning. This theory is pairing a reflex response with a stimuli. A reflex is an automatic reaction and a stimuli is anything in the environment. Pavlov then carried out an experiment with a dog to prove his theory; Pavlov knew that when animals see food they’re automatic reflex is to salivate, he also wanted to

Observational learning is simply learning by observing the behavior of other people called models (Bandura 1997,1986,1989 2000,2006). Bandura sees observational learning as one of the most important mechanism through which humans behavior changes. Cady watched how “the plastics”acted and that is why she eventually became one. This type of learning is more cognitive than conditioning because people have to pay attention to how the person acted at a particular time and make mental pictures to use them later on.

Neural networks emulate the human brain’s neurons, which is a mesh-like network of interconnected processing components. This allows the system to process numerous pieces of information at the same time, and can learn to understand patterns within the processes, which it can use to solve related problems on its own. Examples include;

Training an artificial Neural Network involves choosing and allowing models for models which there are several associated algorithms.

The learning approach is a behaviorist theory and only observable behaviour’s are studied. The theory

Learning is a fascinating concept. Everyone does it and everyone always has, but not everyone explores its eclectic process. That being said, through the course of history, it has been studied vehemently. Ivan Pavlov, a behaviorist, had some groundbreaking research on subclass of learning called classical conditioning. Coming across it incidentally, he discovered that dogs would salivate not only from eating food, but anything associated with them getting fed. Anything unnatural in their feeding process, he termed as the conditioned stimulus, which would result in the conditioned response of them salivating (Daniels). Though classical conditioning seems rather simple and commonsensible, the information psychologists have gathered from it has been revolutionary. It has shown psychologists the very basics of how we learn and adapt as organisms and opened the door for other studies (Myers 268). According to psychologists, learning is the process of acquiring new and relatively enduring information or behaviors (Myers 268).

There are many different kinds of ways that people and animals learn. People can adjust the way they learn to the different situations in which they are learning and what they have to learn. One form of learning is known as conditioning. Conditioning emphasises the relationship between stimuli and responses. The two types of conditioning found are Classical conditioning and Operant conditioning. Learning may occur in different ways. Psychologists have distinguished between different types of learning, these being Observational Learning and Insight Learning.

Classical conditioning, Operant conditioning, and Observational learning are how we learn. This can be from the time we are born up until we die. We are always learning in some form or another. These different types of learning have unconsciously been embedded into our minds. Whether it be from observing how not to start a fire or learning that Mom brings us food, we learn in many different ways.

Much of what humans learn is a result of exposure to models performing a behavior or skill. King (2014) refers to this as observational learning, which "occurs through observing and imitating others Behavior" (p. 183). This powerful method of learning is employed as early as infancy.

Artificial intelligence is the development of a computer system that is able to perform tasks of human intelligence like visual perception, speech recognition, and decision-making. Computer scientists have made a substantial advancement in the

With this principle, at the end of less than a year of existence, the DesignLab4U has been showing that it can explore referred domains through the relation learning provides and through the disciplinary richness

The concept of artificial intelligence was first labeled by a man named Alan Turing in 1950, he believed that the future would hold the possibility for man to communicate with computers and sustain a conversation (Atkinson, Solar 1). Although, we have reached the point where it is possible to hold a simple preprogrammed conversation with a computer and give them the ability to learn, there is still a long way to go in making computers fully artificially intelligent. Atkinson and Solar continue to describe some real world applications of artificial intelligence such as, “Data mining technologies, fraud detection, and industrial-strength optimization” (8). In these examples, forms of artificial intelligence like cognitive reasoning abilities are already being used making the demand for them higher.

Artificial intelligence, or AI, is a field of computer science that attempts to simulate characteristics of human intelligence or senses. These include learning, reasoning, and adapting. This field studies the designs of intelligent

Artificial intelligence techniques are increasingly enriching decision support through means as data delivery, analyzing data trends, providing forecasts, developing data consistency, information providing to the exploiter in the most appropriate forms and suggesting courses of action.