Machine learning is one of the most interesting and advancing aspects of engineering and computer science. It shows you the potential of machines in our modern day world. Machine learning is essentially making a machine learn to perform different tasks by feeding enormous amounts of data. To accomplish this, there are multiple algorithms used for machines to learn and adapt to perform a task easier with new inputs. One of the algorithms is called neural networks. A Neural Network (usually abbreviated as NN) is a learning algorithm that is very similar to a biological neural network. Before going into depth of a neural network (more in depth posts coming up), lets take a look at what kinds of machine learning problems there are and their classifications:
An example of Supervised learning is segregating spam and not spam mail. The computer takes in bunch of mail, and uses a machine learning algorithm to assign the mail one output; either spam, or not spam. The machine does this by learning from previous examples of inputs and it grasps the algorithm or pattern to use for future inputs.
1 Comment
|
Archives
December 2020
Topics
All
|