LEADER 02186nam 2200397 450 001 9910688486203321 005 20230629075835.0 035 $a(CKB)5400000000042579 035 $a(NjHacI)995400000000042579 035 $a(EXLCZ)995400000000042579 100 $a20230629d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine Learning $ealgorithms, models and applications /$fEdited by Jaydip Sen, Sidra Mehtab 210 1$aLondon :$cIntechOpen,$d2021. 210 4$dİ2021 215 $a1 online resource (153 pages) 225 0 $aArtificial intelligence 311 $a1-83969-486-6 320 $aIncludes bibliographical references and index. 330 $aRecent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses-cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence. 517 $aMachine Learning 606 $aMachine learning 615 0$aMachine learning. 676 $a006.31 702 $aSen$b Jaydip 702 $aMehtab$b Sidra 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910688486203321 996 $aMachine learning$9257234 997 $aUNINA