Get the Step-by-Step Guide Notes on Mathematics for Machine Learning in PDF format. Machine learning is essentially the technology that allows computer systems to analyze, behave, and improve over time in a self-reliant manner, much like people do. This is achieved by feeding the systems records and facts in the form of observations and real-world interactions.

Well-known Applications of ML:

linear discriminant analysis. Classification issues such as spam filtering and patient disease classification can be resolved with linear discriminant analysis.

Regression using logic. Logistic regression can be used to solve binary type problems, such as determining if a patient has a certain form of cancer or not.

artificial neural systems. Applications for artificial neural networks include internet marketing, recommender systems, self-driving cars, medical image analysis, and speech and facial recognition using support vector machines. Real global programs of SVMs are comprised of picture and protein types.