LEADER 00877nam a22002291i 4500 001 991001474159707536 005 20030226102218.0 008 030110s1961 xxu|||||||||||||||||eng 035 $ab12152055-39ule_inst 035 $aARCHE-024185$9ExL 040 $aDip.to Filologia Ling. e Lett.$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 100 1 $aWilkins, Ernest Hatch$0172384 245 10$aLife of Petrarch /$cby Ernest Hatch Wilkins 260 $aChicago :$bthe University of Chicago Press,$cc1961 300 $a276 p. ;$c20 cm 650 4$aPetrarca, Francesco 907 $a.b12152055$b02-04-14$c01-04-03 912 $a991001474159707536 945 $aLE008 FL.M. II B 25$g1$i2008000553746$lle008$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i12481075$z01-04-03 996 $aLife of Petrarch$913526 997 $aUNISALENTO 998 $ale008$b01-04-03$cm$da $e-$feng$gxxu$h0$i1 LEADER 03235nam 22005415 450 001 9910300746403321 005 20200706215145.0 010 $a9781484233573 010 $a1484233573 024 7 $a10.1007/978-1-4842-3357-3 035 $a(CKB)4100000004243388 035 $a(MiAaPQ)EBC5401123 035 $a(DE-He213)978-1-4842-3357-3 035 $a(CaSebORM)9781484233573 035 $a(PPN)227406915 035 $a(OCoLC)1040599411 035 $a(OCoLC)on1040599411 035 $a(EXLCZ)994100000004243388 100 $a20180523d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical Artificial Intelligence $eMachine Learning, Bots, and Agent Solutions Using C# /$fby Arnaldo Pérez Castaño 205 $a1st ed. 2018. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018. 215 $a1 online resource (701 pages) 311 08$a9781484233566 311 08$a1484233565 327 $aChapter 1: Logic & AI -- Chapter 2: Automated Theorem Proving & First Order Logic -- Chapter 3: Agents -- Chapter 4: Mars Rover -- Chapter 5: Multi-Agent Systems -- Chapter 6: Communication in a Multi-Agent System using WCF -- Chapter 7: Cleaning Agents: A multi-Agent System Problem -- Chapter 8: Simulation -- Chapter 9: Support Vector Machines -- Chapter 10: Decision Trees -- Chapter 11: Neural Networks -- Chapter 12: Handwritten Digit Recognition. - Chapter 13: Clustering & Multi-Objective Clustering -- Chapter 14: Metaheuristics -- Chapter 15: Game Programming -- Chapter 16: Game Theory - Adversarial Search & Othello Game -- Chapter 17: Reinforcement Learning. 330 $aDiscover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects. People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses. 606 $aArtificial intelligence 606 $aComputer networks 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 676 $a006.3 700 $aPérez Castaño$b Arnaldo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0974212 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910300746403321 996 $aPractical Artificial Intelligence$92519178 997 $aUNINA