LEADER 03967oam 2200841I 450 001 9910456047803321 005 20200520144314.0 010 $a0-203-77427-2 010 $a1-134-58545-4 010 $a1-280-07034-X 010 $a0-585-45735-2 024 7 $a10.4324/9780203466032 035 $a(CKB)111087026910440 035 $a(EBL)180411 035 $a(OCoLC)52759743 035 $a(SSID)ssj0000292234 035 $a(PQKBManifestationID)11236730 035 $a(PQKBTitleCode)TC0000292234 035 $a(PQKBWorkID)10256803 035 $a(PQKB)10725737 035 $a(SSID)ssj0000126566 035 $a(PQKBManifestationID)11133884 035 $a(PQKBTitleCode)TC0000126566 035 $a(PQKBWorkID)10046971 035 $a(PQKB)11676435 035 $a(MiAaPQ)EBC180411 035 $a(Au-PeEL)EBL180411 035 $a(CaPaEBR)ebr10165591 035 $a(CaONFJC)MIL7034 035 $a(EXLCZ)99111087026910440 100 $a20180331d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCompetitiveness strategy in developing countries /$fedited by Ganeshan Wignaraja 210 1$aLondon ;$aNew York :$cRoutledge,$d2003. 215 $a1 online resource (321 p.) 225 1 $aRoutledge studies in development economics ;$v29 300 $a"A manual for policy analysis"- -Cover. 311 $a0-415-22836-0 311 $a0-203-46603-9 320 $aIncludes bibliographical references and index. 327 $aBook Cover; Title; Contents; List of illustrations; List of contributors; Editor's note; Introduction, concepts and benchmarking; Introduction; Competitiveness analysis and strategy; Benchmarking competitiveness: a first look at the MECI; Supply-side issues and policies for competitiveness; Science, technology and innovation policy; Industrial clusters and business development services for small and medium-sized enterprises; Government policies towards foreign direct investment; Financial sector policies for enterprise development; Incentive policies for competitiveness 327 $aPrivatisation, regulation and domestic competition policyInternational trade policies; Index 330 $aGlobalization and structural adjustment offer many opportunities for export orientated industrialization in developing economies. As a group, competitiveness in the developing countries has improved, but, while East Asian economies have had rapid export growth and technological upgrades, South Asian and African economies have lagged behind. Old structures, institutions, behavioural patterns and public policies are ill-adapted to deal with the challenges posed by technological change and economic liberalization. Consequently there is an urgent need for change in government and private sector at 410 0$aRoutledge studies in development economics ;$v29. 606 $aIndustrial policy$zDeveloping countries 606 $aIndustrial productivity$zDeveloping countries 606 $aInvestments, Foreign$xGovernment policy$zDeveloping countries 606 $aTechnological innovations$xEconomic aspects$zDeveloping countries 606 $aCompetition$zDeveloping countries 606 $aInternational trade 606 $aCompetition, International 608 $aElectronic books. 615 0$aIndustrial policy 615 0$aIndustrial productivity 615 0$aInvestments, Foreign$xGovernment policy 615 0$aTechnological innovations$xEconomic aspects 615 0$aCompetition 615 0$aInternational trade. 615 0$aCompetition, International. 676 $a338.4767091724 676 $a338.6048091724 701 $aWignaraja$b Ganeshan$f1962-$0125749 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456047803321 996 $aCompetitiveness strategy in developing countries$92164350 997 $aUNINA LEADER 02958nam 2200481 450 001 9910484054903321 005 20220505234456.0 010 $a3-030-71768-2 024 7 $a10.1007/978-3-030-71768-1 035 $a(CKB)4100000011912018 035 $a(DE-He213)978-3-030-71768-1 035 $a(MiAaPQ)EBC6587710 035 $a(Au-PeEL)EBL6587710 035 $a(OCoLC)1250085222 035 $a(PPN)255885008 035 $a(EXLCZ)994100000011912018 100 $a20220113d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA primer on machine learning in subsurface geosciences /$fShuvajit Bhattacharya 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XVII, 172 p. 130 illus., 118 illus. in color.) 225 1 $aSpringerBriefs in Petroleum Geoscience & Engineering,$x2509-3126 311 $a3-030-71767-4 327 $aIntroduction -- Brief Review of Statistical Measures -- Basic Steps in Machine Learning and Deep Learning Models -- Brief Review of Popular Machine Learning and Deep Learning Algorithms -- Applications of ML/DL in Geophysics and Petrophysics Domain -- Applications of ML/DL in Geology Domain -- Multi-scale Data Integration and Analytics -- The Road Ahead. 330 $aThis book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences. . 410 0$aSpringerBriefs in Petroleum Geoscience & Engineering,$x2509-3126 606 $aGeology$xData processing 615 0$aGeology$xData processing. 676 $a550.285 700 $aBhattacharya$b Shuvajit$0866391 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484054903321 996 $aA Primer on Machine Learning in Subsurface Geosciences$91933722 997 $aUNINA