Genetic and Paralising Algorithms Genetic Algorithms: Genetic algorithms are a type of machine learning that uses a population-based search algorithm inspired by the process of natural selection to solve optimization problems. Topics in Genetic Algorithm Motivation Genetic algorithms hypothesis space search genetic programming models of evolution and learning parallelizing genetic algorithms Motivation Natural selection and genetics serve as the inspiration for the family of optimization algorithms known as genetic algorithms (GAs). They are used to find the optimal solution to a given optimization problem, which can be a global or local optimum.
."Discover how machine learning algorithms can be used to predict customer behaviour and improve business outcomes. Learn how to leverage the power of data to drive success." Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and models. Machine learning has numerous applications in various fields such as computer vision, natural language processing, speech recognition, robotics, finance, healthcare, and more