LEADER 02337nam 2200457 450 001 9910555067603321 005 20201120220939.0 010 $a1-119-65479-3 010 $a1-5231-3696-0 010 $a1-119-65483-1 010 $a1-119-65481-5 035 $a(CKB)4100000011358301 035 $a(MiAaPQ)EBC6268187 035 $a(PPN)262069962 035 $a(CaSebORM)9781119654742 035 $a(OCoLC)1198092075 035 $a(EXLCZ)994100000011358301 100 $a20201120d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine learning and big data $econcepts, algorithms, tools and applications /$fedited by Uma N. Dulhare & Khaleel Ahmad & Khairol Amali Bin Ahmad 210 1$aUnited States of America :$cJohn Wiley & Sons, Incorporated,$d2020. 215 $a1 online resource (535 pages) $cillustrations 300 $aIncludes index. 311 $a1-119-65474-2 330 $a"Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. As we are entering the Industrial Revolution 4.0, BD/ML applications, in combination with IoT/Cloud technologies, are fundamentally changing any domain-specific industry. Development of this field is very important because it can help to enhance human life by the automation system, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements to the way we work, teach, learn and care for ourselves and each other"--$cProvided by publisher. 606 $aComputer Science/IT 615 0$aComputer Science/IT. 676 $a006.31 702 $aDulhare$b Uma N. & Ahmad, Khaleel & Bin Ahmad, Khairol Amali 712 02$aJohn Wiley & Sons, Inc., 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555067603321 996 $aMachine learning and big data$92816594 997 $aUNINA