SKU/Artículo: AMZ-3659118893

Machine Learning In Computational Finance: Practical algorithms for building artificial intelligence applications

Format:

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.36 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • In the first part of the book practical algorithms for building optimal trading strategies are constructed. Both non-restricted and risk-adjusted (Sterling ratio and Sharp ratio) trading strategies are considered. Constructed optimal trading strategies can be used as training dataset for the AI application. In the next part of the book one particular type of Machine Learning - finding optimal linear separators - is considered, and combinatorial deterministic algorithm for computing minimum linear separator set in 2 dimensions is given. In the last part of the book presented efficient algorithms for preventing overfitting. Shape constrained regression is an accepted methodology to deal with overfitting. Algorithms for nonparametric shape constrained regression in the form of isotonic and unimodal regressions are given.
U$S 95,26
44% OFF
U$S 52,92

IMPORTÁ FACIL

Comprando este producto podrás descontar el IVA con tu número de RUT

NO CONSUME FRANQUICIA

Si tu carrito tiene solo libros o CD’s, no consume franquicia y podés comprar hasta U$S 1000 al año.

U$S 95,26
44% OFF
U$S 52,92

¡Comprá en hasta 12 cuotas sin interés con todas tus tarjetas!

Llega en 5 a 11 días hábiles
con envío
Tienes garantía de entrega