LEADER 00000cam a2200553Mi 4500 001 on1117637889 003 OCoLC 005 20220702022102.0 006 m o d 007 cr |n|---||||| 008 190921s2019 enk o 000 0 eng d 015 GBB9E0695|2bnb 016 7 019505051|2Uk 019 1117643564 020 1838552847 020 9781838552848|q(electronic book) 035 (OCoLC)1117637889|z(OCoLC)1117643564 037 9781838552848|bPackt Publishing 040 EBLCP|beng|epn|cEBLCP|dUKMGB|dOCLCO|dOCLCF|dUKAHL|dOCLCQ |dN$T|dOCLCQ|dYDX|dOCLCO 049 RIDW 050 4 Q325.5 082 04 006.31|223 090 Q325.5 100 1 Jeyaraman, Brindha Priyadarshini. 245 10 Practical Machine Learning with R :|bDefine, Build, and Evaluate Machine Learning Models for Real-World Applications. 264 1 Birmingham :|bPackt Publishing, Limited,|c2019. 300 1 online resource (416 pages) 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 347 text file|2rdaft 520 Practical Machine Learning with R gives you the complete knowledge to solve your business problems - starting by forming a good problem statement, selecting the most appropriate model to solve your problem, and then ensuring that you do not overtrain the model. 588 0 Print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Machine learning.|0https://id.loc.gov/authorities/subjects /sh85079324 650 0 R (Computer program language)|0https://id.loc.gov/ authorities/subjects/sh2002004407 650 7 Machine learning.|2fast|0https://id.worldcat.org/fast/ 1004795 650 7 R (Computer program language)|2fast|0https:// id.worldcat.org/fast/1086207 655 4 Electronic books. 700 1 Olsen, Ludvig Renbo. 700 1 Wambugu, Monicah. 776 08 |iPrint version:|aJeyaraman, Brindha Priyadarshini. |tPractical Machine Learning with R : Define, Build, and Evaluate Machine Learning Models for Real-World Applications.|dBirmingham : Packt Publishing, Limited, ©2019|z9781838550134 856 40 |uhttps://rider.idm.oclc.org/login?url=https:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=2242732|zOnline ebook via EBSCO. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading the EBSCO version of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 901 MARCIVE 20231220 948 |d202207013|cEBSCO|tEBSCOebooksacademic July NEW 6029 |lridw 994 92|bRID