Machine learning is an important aspect of modern business and research. It uses Algorithms and Neural network models to improve performance of a system.
It is a tool for converting “information to knowledge."
Arthur Samuel first came up with the phrase “Machine learning” . Later Frank Rosenblott combined Donald Hebb’s model of brain cell interaction with Samuel ’s machine learning and created perceptron in 1950's.
The Nearest neighbor algorithm was proposed for Basic pattern recognition and multiple layered algorithm helps in the raise for Neural network algorithm.
These algorithms find the hidden logic between the complex data.
What is Machine Learning?
Machine learning (ML) is an application of artificial intelligence.where the system learn automatically by training data set and improve scalability and efficiency from it‘s learning experience without programming.
ML focuses on the development of programs and learn by itself automatically by the system.
Why it matters?
Computational finance
Image processing and computer vision
Computational biology
Energy production
Automotive, aerospace and manufacturing
Natural language processing
Techniques of machine learning
Supervised learning - It’s like someone is saying you to train them. Its
requests for training.
Unsupervised learning - It doesn’t need training from outside. It is self
sufficient.
Reinforcement learning – It’s a hit and trail method.
Where it is used?
It is applied in Netflix, Amazon and face book’s face reorganization
Spam detection
Prediction of cancer and heart attacks
Conversion of economic data into money
Virtual games