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008 210123 ||| eng
020 |a 9781785281242 
050 4 |a QA76.73.J38 
100 1 |a Reese, Richard M. 
245 0 0 |a Java for data science  |b examine the techniques and Java tools supporting the growing field of data science  |c Richard M. Reese, Jennifer L. Reese 
246 3 1 |a Examine the techniques and Java tools supporting the growing field of data science 
260 |a Birmingham, UK  |b Packt Publishing  |c 2017 
300 |a vii, 36o pages  |b color illustrations 
653 |a Logiciels d'application / Développement 
653 |a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324 
653 |a Application software / Development / fast 
653 |a Machine learning / fast 
653 |a Java (Computer program language) / fast 
653 |a Apprentissage automatique 
653 |a Java (Langage de programmation) 
653 |a Java (Computer program language) / http://id.loc.gov/authorities/subjects/sh95008574 
653 |a COMPUTERS / Programming Languages / JavaScript / bisacsh 
653 |a Application software / Development / http://id.loc.gov/authorities/subjects/sh95009362 
700 1 |a Reese, Jennifer L.  |e author 
041 0 7 |a eng  |2 ISO 639-2 
989 |b OREILLY  |a O'Reilly 
500 |a Includes index 
015 |a GBB730872 
776 |z 1785280112 
776 |z 9781785281242 
776 |z 1785281240 
776 |z 9781785280115 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781785280115/?ar  |x Verlag  |3 Volltext 
082 0 |a 005.133