The word above on mere sighting, elicits thoughts of various degrees and questions of diverse degrees and inexplicable magnitude. For example, one would ask ‘’how can a mere machine learn’’?? Such questions would always come up because to most people, the sound of the word ‘’machine’’ reminds them of televisions, tricycles, aeroplanes etc. Of course they are not out rightly wrong but the truth is these machines were created from a source; and that source is the ‘’computer’’. Irrespective of our ideas of what a computer is or looks like, it is a whole system and it acts according to a given language and command that makes it to learn and ‘’execute’’. Its learning process is actually termed or called ‘’artificial intelligence’’.
As stated above, it might seem wrong for such question to be asked as it was above, but the clear truth is the word ‘’machine learning ‘’ is formed from a joining of two words being ‘’machine’’ and ‘’learning’’ . It is a part of artificial intelligence in the field of artificial intelligence which most times uses statistical methods to give computers the ability to learn.
DEFINITION OF MACHINE LEARNING
It is simply defined as an application of artificial intelligence (AI) that gives computer systems the ability to automatically learn and improve from experience without being explicitly programmed. It centres on development of computer programs that can access data and use it to learn for themselves.
MACHINE LEARNING IN LAYMANS TERMS
In layman terms we’ll explain machine learning thus; Consider you are trying to toss a paper to a dustbin.
After the first attempt you realise that you have put too much force in it. After second attempt you realise you are closer to target but you need to increase your throw angle. What is happening here is basically after every throw we are learning something and improving the end result? We are programmed to learn from our experience.
We can do something similar with machines too. We can program a machine to learn from every attempts/experiences/data-points and then improve the outcome.
ARTIFICIAL INTELLIGENCE (AI)
This is simply the use of robots to replace what humans can do. It can be described as intelligence displayed by machines in contrast to the intelligence displayed by humans and animals. Artificial intelligence can be described as the theory and development of computer systems which are able to perform tasks that require human intelligence such as visual perception, speech recognition etc.
ARTIFICIAL INTELLIGENCE VS MACHINE LEARNING
When the topic is big data, analytics or a broader wave of technological change sweeping through the world, the buzzwords are always Artificial intelligence and machine learning. One might even be tempted to think they are the same but on the contrary, there is a basic contrast between these two and they are stated below;
- Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart” ‘’WHILE’’ Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
- Machine Learning is the vehicle which is driving AI development forward.
- Machine learning is simply a way of achieving AI.