LEADER 01615nam 22004093 450 001 9911028656503321 005 20250930085251.0 010 $a3-031-51342-8 035 $a(MiAaPQ)EBC32320754 035 $a(Au-PeEL)EBL32320754 035 $a(CKB)41018936100041 035 $a(EXLCZ)9941018936100041 100 $a20250930d2025 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Machine Learning and Big Data Analytics II $eICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 205 $a1st ed. 210 1$aCham :$cSpringer,$d2025. 210 4$dİ2025. 215 $a1 online resource (423 pages) 225 1 $aSpringer Proceedings in Mathematics and Statistics Series ;$vv.442 311 08$a3-031-51341-X 330 $aIn the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation.Machine learning, a subset of artificial intelligence, equips systems to learn and adapt from data, revolutionizing decision-making, automation, and predictive capabilities. 410 0$aSpringer Proceedings in Mathematics and Statistics Series 700 $aPatel$b Ashokkumar$01785888 701 $aKesswani$b Nishtha$01358149 701 $aSambana$b Bosubabu$01846183 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911028656503321 996 $aAdvances in Machine Learning and Big Data Analytics II$94438662 997 $aUNINA