This book uses numerical analysis as the main tool to investigate methods in machine learning and neural networks. The efficiency of neural network representations for general functions and for polynomial functions is studied in detail, together with an original description of t…
"This book offers an overall general review of internal working of Genetic Algorithms (GAs) in search and optimization, and their use in to find out attractive stock trading strategies"
"This book deals with the computational intelligence field, particularly business applications adopting computational intelligence techniques"--Provided by publisher
Why big data? -- Neural networks in finance -- Supervised models -- Semi-supervised learning -- Letting the data speak with unsupervised learning -- Big data factor models -- Data as a signal versus noise -- Applications : big data in options pricing and stochastic modeling -- D…
