Download e-book for kindle: A first course in coding theory by Raymond Hill

By Raymond Hill

ISBN-10: 0001000101

ISBN-13: 9780001000100

ISBN-10: 0198538030

ISBN-13: 9780198538035

ISBN-10: 0198596170

ISBN-13: 9780198596172

ISBN-10: 9876543210

ISBN-13: 9789876543217

Algebraic coding conception is a brand new and speedily constructing topic, renowned for its many useful purposes and for its fascinatingly wealthy mathematical constitution. This booklet offers an undemanding but rigorous creation to the idea of error-correcting codes. in line with classes given through the writer over numerous years to complicated undergraduates and first-year graduated scholars, this advisor incorporates a huge variety of routines, all with strategies, making the ebook hugely compatible for person research

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Extra resources for A first course in coding theory

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For example, a feature named MENINGITIS is denoted by M. So, m will represent the event MENINGITIS = true, and ¬m will denote MENINGITIS = false. Events Involving Non-Binary Features We use lowercase letters with subscripts to iterate across values in the domain of a feature. So Σi P(mi) = P(m) + P(¬m). In situations where a letter, for example X, denotes a joint event, then Σi P(Xi) should be interpreted as summing over all the possible combinations of value assignments to the features in X.

The output from risk prediction models can be used by organizations to make better risk judgements. Propensity Modeling: Most business decision making would be made much easier if we could predict the likelihood, or propensity, of individual customers to take different actions. Predictive data analytics can be used to build models that predict future customer actions based on historical behavior. Successful applications of propensity modeling include predicting the likelihood of customers to leave one mobile phone operator for another, to respond to particular marketing efforts, or to buy different products.

All the other choices that we make, such as the data to use, the descriptive features to use, and the way in which we deploy a model bias the outcome of the overall process, and this is something we need to be keenly aware of. With this in mind, readers can view the book as three parts that are mapped to the phases of the CRISP-DM process. In this part we discuss how a business problem is converted into a data analytics solution, how data can be prepared for this task, and the data exploration tasks that should be performed during these phases.

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A first course in coding theory by Raymond Hill

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