Download Thoughtful Machine...

Format: Print Length

Language: English

Pages: 236

Publisher: O'Reilly Media; 1 edition (September 26, 2014)


Format: PDF / Kindle / ePub

Size: 8.3 MB

Downloadable formats: PDF

methods to practice test-driven improvement (TDD) to machine-learning algorithms—and seize error that can sink your research. during this functional consultant, writer Matthew Kirk takes you thru the rules of TDD and computer studying, and exhibits you the way to use TDD to a number of machine-learning algorithms, together with Naive Bayesian classifiers and Neural Networks.Machine-learning algorithms frequently have exams baked in, yet they can’t account for human error in coding. instead of blindly depend upon machine-learning effects as many researchers have, you could mitigate the danger of error with TDD and write fresh, sturdy machine-learning code. If you’re acquainted with Ruby 2.1, you’re able to start.Apply TDD to write down and run checks prior to you begin codingLearn the easiest makes use of and tradeoffs of 8 computing device studying algorithmsUse real-world examples to check each one set of rules via attractive, hands-on exercisesUnderstand the similarities among TDD and the medical strategy for validating solutionsBe conscious of the dangers of computer studying, comparable to underfitting and overfitting dataExplore innovations for bettering your machine-learning versions or facts extraction

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