Archives for genetic algorithms
Genetic algorithms(GA) are a rapidly growing area of artificial intelligence and machine learning. They are based on natural selection and genetics. Genetic algorithms are adaptive heuristic algorithms; as such, they represent an intelligent utilization of random search to solve optimization problems. The idea of GA is given by John Holland which follows the principle “Survival…
The post Genetic Algorithms Made Easy With EasyGA appeared first on Analytics India Magazine.
The central idea behind using any feature selection technique is to simplify the models, reduce the training times, avoid the curse of dimensionality without losing much of information. The popular feature selection methods are: Filter method Wrapper method Embedded method For example, PCAs are popular with dimensionality reduction but the underlying assumptions of PCA depend…
The post How To Use Genetic Algorithms As A Tool For Feature Selection In Machine Learning appeared first on Analytics India Magazine.
Everything in this universe is governed by one principle- to achieve equilibrium. Things appear and disappear in this process. Life appeared out of chemical imbalances or thermal and electrical gradients in the primordial soup. The design of life is often very simple; it’s the scientific tools that humans make it difficult to decipher. The trick…
The post Beginner’s Guide To Genetic Algorithms appeared first on Analytics India Magazine.