Key elements of machine learning

There are thousands of Machine leering algorithms and thousands of new algorithms are developed every year.

Every machine learning algorithms has three components.

i. Representation- It includes, what the model looks like?, How knowledge is represented?

Eg. Decision tree, sets of rules, instances, graphical model, neural networks, support vector machine, model ensembles and others,

ii. Evaluation- How good models are differentiated? How programs are evaluated?

iii. Optimization- This is the process for finding the good model. How programs are generated?

Every machine learning algorithm works on two major parts

i. Data- It can be any unprocessed fact, value, text, sound or picture that is not being interpreted and analyzed. Data is the most important part of all data analytics, machine learning and AI.

Machine learning methods finds the patterns and relation in data.

ii. Your algorithm- Algorithms are nothing but machine learning methods that will use to find relation within your data. It can be complex, simple, big or small or any permutation of things.