Algorithms

1. An algorithm (pronounced AL-go-rith-um) is a procedure or formula for solving a problem. The word derives from the name of the mathematician, Mohammed ibn-Musa al-Khwarizmi, who was part of the royal court in Baghdad and who lived from about 780 to 850.
1. Machine learning algorithms
2. The fundamentals of Machine Learning is based on developing algorithms that a computer can use to look at hundreds or thousands of examples (and the correct answers), and then the computer uses that experience to solve the same problem in new situations. Essentially, our goal is to teach the computer to solve by example, very similar to how we might teach a young child to distinguish a cat from a dog.

Deep learning is a form of machine learning that uses a model of computing that's very much inspired by the structure of the brain to form a neural network. Using layers of neurons with connections to each other with different strengths (called weights 'w') set up by learning through trial and Error 'E'.

Each layer can be used to filter different aspects to help find the truth 't' and solve by using a prediction called 'Y' from the inputs 'X', each learning step 'ϵ' reducing any error 'E' from the inputs.