The importance of machine learning in the computer application

Machine learning is about extracting knowledge from data. It is a research field at the intersection of statistics, artificial intelligence, and computer science. It is known as predictive analytics or statistical learning. The application of machine learning methods has in recent years become ubiquitous in everyday life. It is from automatic recommendations of which movies to watch, to what food to order and which products to buy, to personalized radio and recognizing. The many modern websites and devices have machine learning algorithms at their core. It is very likely that every part of the site contains multiple machine learning models. It is outside of commercial applications, machine learning has a tremendous influence on the way data-driven research is done today. The tools introduced in this book have been applied to diverse scientific problems such as understanding stars. The finding distant planets, are discovering new particles, analyzing DNA sequences, and providing personalized cancer treatments. It is large scale or world changing. Machine learning is programming computers to optimize a performance criterion using example data or past experience. We have a model defined up to some parameters, and learning is the execution of a computer program to optimize the parameters of the model using the training data or past experience. The model may be predictive to make predictions in the future, or descriptive to gain knowledge from data, or both. Keywords : automatic, Machine, Facebook, Amazon, or Netflix