£68.79

Springer Coding Ockham's Razor

Name: Coding Ockham's Razor
Brand: Springer
Price: 68.79 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£69 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £69 (1 days, 100.0%)

Price range: £69 - £69

Price levels: 1 different prices over 1 days

Description

This book explores inductive inference using the minimum message length (MML) principle, a Bayesian method which is a realisation of Ockham's Razor based on information theory. Accompanied by a library of software, the book can assist an applications programmer, student or researcher in the fields of data analysis and machine learning to write computer programs based upon this principle. MML inference has been around for 50 years and yet only one highly technical book has been written about the subject. The majority of research in the field has been backed by specialised one-off programs but this book includes a library of general MML–based software, in Java. The Java source code is available under the GNU GPL open-source license. The software library is documented using Javadoc which produces extensive cross referenced HTML manual pages. Every probability distribution and statistical model that is described in the book is implemented and documented in the software library. The library may contain a component that directly solves a reader's inference problem, or contain components that can be put together to solve the problem, or provide a standard interface under which a new component can be written to solve the problem. This book will be of interest to application developers in the fields of machine learning and statistics as well as academics, postdocs, programmers and data scientists. It could also be used by third year or fourth year undergraduate or postgraduate students. Review “The GNU GPL licensed library is well documented and can be easily used and extended to the user’s needs. A lot of instructive examples for problem solving with this software are presented in the book and even have been coded for the reader’s convenience.” (Rainer Horsch, zbMATH 1409.68001, 2019)

Product Specifications

Brand: Springer
Format: paperback
ASIN: 303009488X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 25 December 2018
Listed Since: 26 December 2018

Barcode

No barcode data available

Springer Coding Ockham's Razor

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)

Synergies of Soft Computing and Statistics for Intelligent Data Analysis: 190 (Advances in Intelligent Systems and Computing, 190)

Introduction to Probabilistic and Statistical Methods with Examples in R: 176 (Intelligent Systems Reference Library, 176)

Bayes Theory (Springer Series in Statistics)

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists (Chapman & Hall/CRC Texts in Statistical Science)

Probability for Information Technology

Exercises and Solutions in Statistical Theory: 99 (Chapman & Hall/CRC Texts in Statistical Science)

An Introduction to Probability and Statistical Inference

Introduction to Probability, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Collected Papers I: Statistical Inference and Probability (1951 - 1963): 1 (Springer Collected Works in Mathematics)

Seminal Ideas and Controversies in Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Seminal Ideas and Controversies in Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Examples and Problems in Mathematical Statistics (Wiley Series in Probability and Statistics)

Statistical Machine Learning: A Unified Framework (Chapman & Hall/CRC Texts in Statistical Science)

Probability and Statistics for Engineering and the Sciences with Modeling using R (Textbooks in Mathematics)

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)

Springer - Selected Works of David Brillinger - Statistics Book

Statistics with Vague Data: 6 (Theory and Decision Library B, 6)

Prior Processes and Their Applications: Nonparametric Bayesian Estimation (Springer Series in Statistics)

Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

Formeln und Tabellen der angewandten mathematischen Statistik

Mathematics and Programming for Machine Learning with R: From the Ground Up