Bayesian Reasoning and Machine Learning
Author: David Barber
Publisher: Cambridge University Press
ISBN: 9780521518147
Category: Computers
Page: 697
View: 968
Language: en
Pages: 697
Pages: 697
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
Language: en
Pages:
Pages:
Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice
Language: en
Pages: 697
Pages: 697
"Vast amounts of data present amajor challenge to all thoseworking in computer science, and its many related fields, who need to process and extract value from such data. Machine learning technology is already used to help with this task in a wide range of industrial applications, including search engines, DNA
Language: en
Pages: 697
Pages: 697
"Vast amounts of data present amajor challenge to all thoseworking in computer science, and its many related fields, who need to process and extract value from such data. Machine learning technology is already used to help with this task in a wide range of industrial applications, including search engines, DNA
Language: en
Pages: 144
Pages: 144
The book talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. It contains recent advancement in machine learning and highlights the applications of machine learning algorithms. This book is primarily aimed at graduates, researchers and professionals in the field of data science and machine learning.
