Name: Stochastic Optimization for Large-Scale Machine Learning (en Inglés)
Price: 188450.00 CLP
Availability: InStock
Author: Vinod Kumar Chauhan
ISBN: 9781032131757

portada Stochastic Optimization for Large-Scale Machine Learning (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Vinod Kumar Chauhan

Idioma

Inglés

N° páginas

158

Encuadernación

Tapa Dura

ISBN13

9781032131757

N° edición

Stochastic Optimization for Large-Scale Machine Learning (en Inglés)

Vinod Kumar Chauhan (Autor) · Crc Press · Tapa Dura

Libro Nuevo

$ 188.450

$ 261.740

Ahorras: $ 73.290

28% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Martes 23 de Julio y el Miércoles 31 de Julio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Stochastic Optimization for Large-Scale Machine Learning (en Inglés)"

Advancements in the technology and availability of data sources have led to the Big Data' era. Working with large data offers the potential to uncover more fine-grained patterns and take timely and accurate decisions, but it also creates a lot of challenges such as slow training and scalability of machine learning models. One of the major challenges in machine learning is to develop efficient and scalable learning algorithms, i.e., optimization techniques to solve large scale learning problems. Stochastic Optimization for Large-scale Machine Learning identifies different areas of improvement and recent research directions to tackle the challenge. Developed optimisation techniques are also explored to improve machine learning algorithms based on data access and on first and second order optimisation methods. Key Features: Bridges machine learning and Optimisation. Bridges theory and practice in machine learning. Identifies key research areas and recent research directions to solve large-scale machine learning problems. Develops optimisation techniques to improve machine learning algorithms for big data problems. The book will be a valuable reference to practitioners and researchers as well as students in the field of machine learning.