{"id":28757,"date":"2020-05-06T09:38:48","date_gmt":"2020-05-06T00:38:48","guid":{"rendered":"https:\/\/smallake.kr\/?p=28757"},"modified":"2020-05-06T09:38:48","modified_gmt":"2020-05-06T00:38:48","slug":"springer%ea%b0%80-%eb%ac%b4%eb%a3%8c%eb%a1%9c-%ea%b3%b5%ea%b0%9c%ed%95%9c-%ea%b8%b0%ea%b3%84%ed%95%99%ec%8a%b5-%eb%8f%84%ec%84%9c","status":"publish","type":"post","link":"https:\/\/smallake.kr\/?p=28757","title":{"rendered":"Springer\uac00 \ubb34\ub8cc\ub85c \uacf5\uac1c\ud55c \uae30\uacc4\ud559\uc2b5 \ub3c4\uc11c"},"content":{"rendered":"

1.
\nSpringerLink<\/a>SpringerLink<\/a>\ub77c\uace0 \uc544\uc2dc\ub098\uc694? \uc218\ubc31\ub9cc\uad8c\uc758 \uacfc\ud559\uc800\uc11c\ub97c \uc628\ub77c\uc778\uc73c\ub85c, \ubb34\ub8cc\ub85c \uc81c\uacf5\ud574\uc8fc\ub294 \uc0ac\uc774\ud2b8\uc785\ub2c8\ub2e4. \ub113\uc740 \uc758\ubbf8\ub85c \ubcf4\uba74 Open Access\uc785\ub2c8\ub2e4. \ud639 Quantpedia\ub97c \uc544\uc2dc\ub098\uc694?<\/a>\uc5d0\uc11c \uc18c\uac1c\ud558\uc600\uace0 \ub9ce\uc740 \ubd84\ub4e4\uc774 \uc774\uc6a9\ud558\uace0 \uacc4\uc2dc\ub294 arXiv, SSRN\uacfc \uac19\uc740 \uc11c\ube44\uc2a4\uc785\ub2c8\ub2e4. Springer\uac00 \uc815\uc758\ud558\ub294 Open Access\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n

What is open access? <\/p>\n

Open access publications are freely and permanently<\/strong> available online to anyone with an internet connection. Unrestricted use, distribution and reproduction in any medium is permitted, provided the author\/editor is properly attributed.<\/p>\n

As such, every article appearing in any SpringerOpen journal and any book published with SpringerOpen is ‘open access’, meaning that:<\/p>\n

The article\/book is universally and freely accessible via the Internet, in an easily readable format. All publications are deposited immediately upon publication, without embargo, in an agreed format – current preference is XML with a declared DTD – in at least one widely and internationally recognised open access repository.
\n The author(s) or copyright owner(s) irrevocably grant(s) to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate the article\/book in its entirety or in part, in any format or medium, provided that no substantive errors are introduced in the process, proper attribution of authorship and correct citation details are given, and that the bibliographic details are not changed. If the article\/book is reproduced or disseminated in part, this must be clearly and unequivocally indicated.<\/p>\n

Open access has gained tremendous support from both authors, who appreciate the increased visibility of their work, as well as science institutions and funders, who value the societal impact of freely available research results. <\/p><\/blockquote>\n

SpringerLink\uc5d0\uc11c \uac80\uc0c9\uc5b4\ub85c Deep Learning\uc744 \uc785\ub825\ud558\uace0 2019\ub144\ubd80\ud130 2020\ub144\uc0ac\uc774\uc5d0 \ubc1c\uac04\ub41c \uc790\ub8cc\ub97c \ucc3e\uc544\ubcf4\uba74 \uc544\ub798\uc640 \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n

\"\"<\/p>\n

\uc774\uc911 “Trends everywhere? The case of hedge fund styles”\uc744 \uc120\ud0dd\ud558\uba74 \uc720\ub8cc\ub85c \ub098\uc635\ub2c8\ub2e4. \uad6c\uae00\uc5d0\uc11c \uac80\uc0c9\ud558\uba74 Trends everywhere? The case of hedge fund styles<\/a>Trends everywhere? The case of hedge fund styles<\/a>\uc5d0\uc11c \uc6d0\ubb38\uc744 \uad6c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc9c1\uc811 \uc6d0\uc790\ub8cc\ub97c \uc81c\uacf5\ud558\uc9c0 \uc54a\ub354\ub77c\ub3c4 \ud544\uc694\ud55c \uc790\ub8cc\ub97c \uc811\uadfc\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n

2.
\n \uc544\ub798 \uc18c\uac1c\ud558\ub294 \uc790\ub8cc\uc758 \ucd9c\ucc98\ub294 Springer has released 65 Machine Learning and Data books for free<\/a>Springer has released 65 Machine Learning and Data books for free<\/a>\uc785\ub2c8\ub2e4. SpingerLink\uc5d0\uc11c \uc6d0\ubb38\uc73c\ub85c \uad6c\ud560 \uc218 \uc788\ub294 \uae30\uacc4\ud559\uc2b5 \ubc0f \ub370\uc774\ud0c0\uacfc\ud559\uacfc \uad00\ub828\ud55c \ucc45\ub4e4\uc785\ub2c8\ub2e4. \uac1c\uc778\uc801\uc73c\ub85c David Ruppert, David S. Matteson\uac00 \uc4f4 Statistics and Data Analysis for Financial Engineering<\/strong><\/a>\uc5d0 \uad00\uc2ec\uc774 \uac11\ub2c8\ub2e4.<\/p>\n

Introduction to Evolutionary Computing<\/strong><\/a> \u00a0 A.E. Eiben, J.E. Smith
\nAnalysis for Computer Scientists<\/strong><\/a>\u00a0Michael Oberguggenberger, Alexander Ostermann
\nFoundations of Programming Languages<\/strong><\/a> Kent D. Lee
\nConcise Guide to Databases<\/strong><\/a>\u00a0Peter Lake, Paul Crowther<\/p>\n

Modelling Computing Systems<\/strong><\/a> Faron Moller, Georg Struth
\nSearch Methodologies<\/strong><\/a> Edmund K. Burke, Graham Kendall
\nObject-Oriented Analysis, Design and Implementation<\/strong><\/a> Brahma Dathan, Sarnath Ramnath<\/p>\n

The Elements of Statistical Learning<\/strong><\/a>\u00a0 Trevor Hastie, Robert Tibshirani, Jerome Friedman
\nIntroduction to Statistics and Data Analysis<\/strong><\/a> Christian Heumann, Michael Schomaker, Shalabh
\nData Analysis<\/strong><\/a>\u00a0 Siegmund Brandt
\nPrinciples of Data Mining<\/strong><\/a> Max Bramer
\nData Mining<\/strong><\/a> Charu C. Aggarwal<\/p>\n

Statistics and Analysis of Scientific Data<\/strong><\/a> Massimiliano Bonamente
\nUnderstanding Analysis<\/strong><\/a> Stephen Abbott<\/p>\n

An Introduction to Statistical Learning<\/strong><\/a> Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
\nStatistical Learning from a Regression Perspective<\/strong><\/a> Richard A. Berk
\nApplied Partial Differential Equations<\/strong><\/a> J. David Logan<\/p>\n

Introduction to Artificial Intelligence<\/strong><\/a>\u00a0Wolfgang Ertel
\nIntroduction to Deep Learning<\/strong><\/a>\u00a0Sandro Skansi
\nNeural Networks and Deep Learning<\/strong><\/a>\u00a0Charu C. Aggarwal
\nData Science and Predictive Analytics<\/strong><\/a>\u00a0Ivo D. Dinov<\/p>\n

The Data Science Design Manual<\/strong><\/a> Steven S. Skiena
\nAn Introduction to Machine Learning<\/strong><\/a> Miroslav Kubat
\nGuide to Discrete Mathematics<\/strong><\/a> Gerard O\u2019Regan
\nIntroduction to Time Series and Forecasting<\/strong><\/a> Peter J. Brockwell, Richard A. Davis<\/p>\n

Linear and Nonlinear Programming<\/strong><\/a> David G. Luenberger, Yinyu Ye
\nFundamentals of Robotic Mechanical Systems<\/strong><\/a> Jorge Angeles<\/p>\n

A Beginners Guide to Python 3 Programming<\/strong><\/a> John Hunt
\nAdvanced Guide to Python 3 Programming<\/strong><\/a> John Hunt
\nData Structures and Algorithms with Python<\/strong><\/a> Kent D. Lee, Steve Hubbard
\nThe Python Workbook<\/strong><\/a> Ben Stephenson<\/p>\n

Python For ArcGIS<\/strong><\/a> Laura Tateosian<\/p>\n

Bayesian Essentials with R<\/strong><\/a> Jean-Michel Marin, Christian P. Robert
\nIntroductory Time Series with R<\/strong><\/a> \u00a0\u00a0\u00a0\u00a0\u00a0 Paul S.P. Cowpertwait, Andrew V. Metcalfe
\nA Beginner\u2019s Guide to R<\/strong><\/a> \u00a0 Alain Zuur, Elena N. Ieno, Erik Meesters
\nUnderstanding Statistics Using R<\/strong><\/a> Randall Schumacker, Sara Tomek<\/p>\n

Introduction to Partial Differential Equations<\/strong><\/a> David Borthwick
\nIntroduction to Partial Differential Equations<\/strong><\/a> Peter J. Olver
\nStochastic Processes and Calculus<\/strong><\/a> Uwe Hassler
\nLinear Algebra and Analytic Geometry for Physical Sciences<\/strong><\/a> Giovanni Landi, Alessandro Zampini
\nApplied Linear Algebra<\/strong><\/a>\u00a0Peter J. Olver, Chehrzad Shakiban
\nLinear Algebra Done Right<\/strong><\/a> Sheldon Axler
\nLinear Algebra<\/strong><\/a> J\u00f6rg Liesen, Volker Mehrmann
\nAlgebra<\/strong><\/a> Serge Lang<\/p>\n

Methods of Mathematical Modelling<\/strong><\/a>\u00a0Thomas Witelski, Mark Bowen
\nLaTeX in 24 Hours<\/strong><\/a> Dilip Datta
\nLinear Programming<\/strong><\/a> Robert J Vanderbei
\nComputer Vision<\/strong><\/a> Richard Szeliski<\/p>\n

Computational Geometry<\/strong><\/a> Mark de Berg, Otfried Cheong, Marc van Kreveld, Mark Overmars
\nRobotics, Vision and Control<\/strong><\/a> Peter Corke
\nStatistical Analysis and Data Display<\/strong><\/a>Richard M. Heiberger, Burt Holland<\/p>\n

Statistical Analysis of Clinical Data on a Pocket Calculator<\/strong><\/a> Ton J. Cleophas, Aeilko H. Zwinderman
\nClinical Data Analysis on a Pocket Calculator<\/strong><\/a>\u00a0Ton J. Cleophas, Aeilko H. Zwinderman
\nMultivariate Calculus and Geometry<\/strong><\/a> Se\u00e1n Dineen
\nRobotics<\/strong><\/a> Bruno Siciliano, Lorenzo Sciavicco, Luigi Villani, Giuseppe Oriolo
\nRegression Modeling Strategies<\/strong><\/a> Frank E. Harrell , Jr.
\nA Modern Introduction to Probability and Statistics<\/strong><\/a> F.M. Dekking, C. Kraaikamp, H.P. Lopuha\u00e4, L.E. Meester
\nMachine Learning in Medicine \u2014 a Complete Overview<\/strong><\/a> Ton J. Cleophas, Aeilko H. Zwinderman
\nIntroduction to Data Science<\/strong><\/a> Laura Igual, Santi Segu\u00ed
\nApplied Predictive Modeling<\/strong><\/a> Max Kuhn, Kjell Johnson
\nDigital Image Processing<\/strong><\/a> Wilhelm Burger, Mark J. Burge
\nRobotics, Vision and Control<\/strong><\/a> Peter Corke
\nExcel Data Analysis<\/strong><\/a>\u00a0Hector Guerrero<\/p>\n

\uc790\ub8cc\uac00 \uc5c6\uc5b4\uc11c \uc5f0\uad6c\ub098 \uacf5\ubd80\ub97c \ubabb\ud55c\ub2e4\uace0 \ud558\ub294 \uac74 \uc774\uc81c \ud551\uacc4\uc77c \ubfd0\uc785\ub2c8\ub2e4.(^^)<\/p>\n","protected":false},"excerpt":{"rendered":"

1. SpringerLinkSpringerLink\ub77c\uace0 \uc544\uc2dc\ub098\uc694? \uc218\ubc31\ub9cc\uad8c\uc758 \uacfc\ud559\uc800\uc11c\ub97c \uc628\ub77c\uc778\uc73c\ub85c, \ubb34\ub8cc\ub85c \uc81c\uacf5\ud574\uc8fc\ub294 \uc0ac\uc774\ud2b8\uc785\ub2c8\ub2e4. \ub113\uc740 \uc758\ubbf8\ub85c \ubcf4\uba74 Open Access\uc785\ub2c8\ub2e4. \ud639 Quantpedia\ub97c \uc544\uc2dc\ub098\uc694?\uc5d0\uc11c \uc18c\uac1c\ud558\uc600\uace0 \ub9ce\uc740 \ubd84\ub4e4\uc774 \uc774\uc6a9\ud558\uace0 \uacc4\uc2dc\ub294 arXiv, SSRN\uacfc \uac19\uc740 \uc11c\ube44\uc2a4\uc785\ub2c8\ub2e4. Springer\uac00 \uc815\uc758\ud558\ub294 Open Access\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. What is open access? Open access publications are freely and permanently available online to anyone with an internet connection. Unrestricted use, distribution and reproduction in any medium is…
Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":28766,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"SpringerLInk\ub97c \ud1b5\ud558\uc5ec \ub2e4\uc591\ud55c \uc804\uc790 \uc800\uc791\ubb3c\uc744 \uad6c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\uc911 Springer\uac00 \ubb34\ub8cc\ub85c \uacf5\uac1c\ud55c \uae30\uacc4\ud559\uc2b5\uacfc \ub370\uc774\ud0c0\uacfc\ud559\uacfc \uad00\ub828\ud55c \ub3c4\uc11c 64\uc885\uc785\ub2c8\ub2e4. \uc2ac\uae30\ub85c\uc6b4 \uc7ac\ud0dd\uc0dd\ud65c\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[4],"tags":[3467,1291,1423,3466],"class_list":["post-28757","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category--it","tag-springer","tag-1291","tag-1423","tag-3466"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t