Bayesian Reasoning and Machine Learning
Author: David Barber
Publisher: Cambridge University Press
ISBN: 9780521518147
Category: Computers
Page: 739
View: 120
Language: en
Pages: 739
Pages: 739
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:
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: 165
Pages: 165
This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. Bayesian methods are applied in many areas, such as game development, decision making, and drug discovery. It is very effective for machine learning algorithms in handling missing data and extracting information from small datasets. Bayesian Reasoning and Gaussian
Language: en
Pages: 147
Pages: 147
This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. Bayesian methods are applied in many areas, such as game development, decision making, and drug discovery. It is very effective for machine learning algorithms in handling missing data and extracting information from small datasets. Bayesian Reasoning and Gaussian
