Inicio
/
Menos de ₡25,000
/
Libros Todo
/
Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
Jeff Heaton
Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms

₡18,000
+ ₡2,800 de envío o gratis en pedidos mayores a ₡35,000
Disponible
Pedido Internacional Entrega 15 a 20 Días
¿Porque este tiempo de entrega?
Cuotas desde ₡750/mes
Con Tasa Cero BAC, Paguitos Davivienda y Credix

Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
Disponible
₡18,000
Pagos
Tarjeta
Transferencia
SINPE Móvil
Zunify
Descripción
A great building requires a strong foundation. This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming-anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, R, Python and C. Other languages planned.
Detalles
Formato | Tapa suave |
Número de Páginas | 224 |
Lenguaje | Inglés |
Editorial | Createspace Independent Publishing Platform |
Fecha de Publicación | 2013-11-26 |
Dimensiones | 9.25" x 7.52" x 0.47" pulgadas |
Serie | Artificial Intelligence for Humans |
Letra Grande | No |
Con Ilustraciones | No |
Acerca del Autor
Jeff Heaton, PhD, is a computer scientist that specializes in data science and artificial intelligence. Specializing in Python, R, Java and C#, he is an open source contributor and author of more than ten books. His areas of expertise include predictive modeling, data mining, big data, business intelligence, and artificial intelligence. Jeff holds a Master's Degree in Information Management from Washington University and a PhD in computer science from Nova Southeastern University in computer science. He is the lead developer for the Encog Machine Learning Framework open source project, a senior member of IEEE, and a fellow of the Life Management Institute (FLMI).
Garantía & Otros
Peso | 0.86lb |
SKU | 9781493682225 |
Publicado en Unimart.com | 22-01-25 |
Feedback | ¿Viste un precio más bajo? Queremos saber. |
Categorías relacionadas:
Opiniones & Preguntas
0.0
0 opiniones
5
4
3
2
1