{"id":159,"date":"2019-09-16T20:51:53","date_gmt":"2019-09-16T20:51:53","guid":{"rendered":"http:\/\/flexitcs.net\/?page_id=159"},"modified":"2022-04-03T10:29:24","modified_gmt":"2022-04-03T10:29:24","slug":"online-ressourcen-data-science","status":"publish","type":"page","link":"https:\/\/flexitcs.net\/index.php\/online-ressourcen-data-science\/","title":{"rendered":"Online-Ressourcen Data Science"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Empfohlene Online-Ressourcen aus dem Bereich Data Science<\/h2>\n\n\n\n<h4 class=\"wp-block-heading\">\n&nbsp;B\u00fccher (Online-Books): \n        <\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/python.swaroopch.com\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;A Byte of Python&#8216;<\/a><\/li><li><a href=\"http:\/\/r4ds.had.co.nz\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;R for Data Science&#8216;<\/a> von Grolemund and Wickham<\/li><li><a href=\"https:\/\/adv-r.hadley.nz\/index.html\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Advanced R&#8216;<\/a> von Hadley Wickham<\/li><li><a href=\"https:\/\/www.manning.com\/books\/practical-data-science-with-r-second-edition\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Practical Data Science with R&#8216;<\/a> von Nina Zumel and John Mount (2. Auflage, 1. Auflage <a href=\"https:\/\/www.manning.com\/books\/practical-data-science-with-r\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">hier<\/a>)      <\/li><li><a href=\"http:\/\/r-pkgs.had.co.nz\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;R packages&#8216;<\/a> von Hadley Wickham<\/li><li><a href=\"https:\/\/bookdown.org\/yihui\/rmarkdown\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;R Markdown: The Definitive Guide&#8216;<\/a> von Xie, Allaire and Grolemund<\/li><li><a href=\"https:\/\/otexts.org\/fpp2\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Forecasting: Principles and Practice&#8216;<\/a> von Hyndman and Athanasopoulos<\/li><li><a href=\"https:\/\/www.tidytextmining.com\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Text Mining with R&#8216;<\/a> von Silge and Robinson<\/li><li><a href=\"http:\/\/neuralnetworksanddeeplearning.com\/index.html\" class=\"ek-link\">&#8218;Neural Networks and Deep Learning&#8216;<\/a> von Michael Nielsen    <\/li><li>&#8218;<a href=\"http:\/\/incompleteideas.net\/book\/RLbook2018.pdf\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">Reinforcement Learning: An Introduction<\/a>&#8218; von R.S. Rutton und A.G. Barto         <\/li><li><a href=\"https:\/\/plotly-r.com\/index.html\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Interactive web-based data visualization with R, plotly, and shiny&#8216;<\/a> von Carson Sievert        <\/li><li><a href=\"http:\/\/www.knosof.co.uk\/ESEUR\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Evidence-based Software Engineering using R&#8216;<\/a> von Derek M. Jones             <\/li><li><a href=\"https:\/\/bookdown.org\/yihui\/bookdown\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;bookdown: Authoring Books and Technical Documents with R Markdown&#8216;<\/a> von Yihui Xie            <\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\n        &nbsp;Podcasts: \n        <\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.superdatascience.com\/podcast\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;SuperDataScience Careers Podcast&#8216;<\/a> mit Kirill Eremenko (bis 2020) resp. Jon Krohn (ab 2021)<\/li><li><a href=\"http:\/\/nssdeviations.com\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Not So Standard Deviations&#8216;<\/a> mit Roger Peng and Hilary Parker            <\/li><li><a href=\"http:\/\/datastori.es\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Data Stories&#8216;<\/a> mit Enrico Bertini and Moritz Stefaner (data visualization) <\/li><li><a href=\"http:\/\/www.storytellingwithdata.com\/podcast\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Storytelling with data podcast&#8216;<\/a> mit Cole Nussbaumer Knaflic<\/li><li><a href=\"https:\/\/dataskeptic.com\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;Data Skeptic&#8216;<\/a> mit Kyle Polich<\/li><li><a href=\"https:\/\/www.oreilly.com\/topics\/oreilly-data-show-podcast\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;O&#8217;Reilly Data Show Podcast&#8216;<\/a><\/li><li><a href=\"https:\/\/www.analyticsvidhya.com\/blog\/category\/podcast\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;DataHack Radio&#8216;<\/a> mit Analytics Vidhya<\/li><li><a href=\"https:\/\/www.datacamp.com\/community\/podcast\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">&#8218;DataFramed&#8216;<\/a> &#8211; DataCamp\u2019s official podcast. Presented by Hugo Bowne-Anderson <\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\n        &nbsp;Blogs: \n        <\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.r-bloggers.com\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">R bloggers<\/a><\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/data-science-blog.com\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Data Science Blog<\/a>  <\/li><li><a aria-label=\"Date Science Consulting Blog (opens in a new tab)\" href=\"https:\/\/www.theseattledataguy.com\/data-science-consulting-blog\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Date Science Consulting Blog<\/a> von Seattle Data Guy<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\n        &nbsp;Artikel: \n        <\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/stats.stackexchange.com\/questions\/115258\/comprehensive-list-of-activation-functions-in-neural-networks-with-pros-cons\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Comprehensive list of <strong>activation functions<\/strong> in neural networks with pros\/cons<\/a> (Phylliida, 2015),                 <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/stats.stackexchange.com\/questions\/154879\/a-list-of-cost-functions-used-in-neural-networks-alongside-applications\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">A list of <strong>cost functions<\/strong> used in neural networks, alongside applications<\/a> (Phylliida, 2018),                 <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"http:\/\/yann.lecun.com\/exdb\/publis\/pdf\/lecun-98b.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Efficient BackProp<\/a> (Yann LeCun et al., 1998),                    <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.analyticsvidhya.com\/blog\/2017\/03\/introduction-to-gradient-descent-algorithm-along-its-variants\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Introduction to Gradient Descent Algorithm (along with variants) in Machine Learning<\/a> (Faizan Shaikh, 2017),                 <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"http:\/\/jmlr.org\/proceedings\/papers\/v15\/glorot11a\/glorot11a.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Deep Sparse Rectifier Neural Networks<\/a> (Xavier Glorot et al., 2011),                       <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/iamtrask.github.io\/2015\/07\/27\/python-network-part2\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">A Neural Network in 13 lines of Python (Part 2 &#8211; Gradient Descent) &#8211; Improving our neural network by optimizing Gradient Descent<\/a> (Andrew Trask, 2015),                 <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"http:\/\/yann.lecun.com\/exdb\/publis\/pdf\/lecun-01a.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Gradient-Based Learning Applied to Document Recognition<\/a> (Yann LeCun et al., 1998),                     <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/arxiv.org\/pdf\/1609.04112.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Understanding Convolutional Neural Networks with A Mathematical Model<\/a><span style=\"color: initial;\"> (C.-C. Jay Kuo, 2016),                     <\/span><\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/arxiv.org\/pdf\/1502.01852.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification<\/a> (Kaiming He et al., 2015),                     <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"http:\/\/ais.uni-bonn.de\/papers\/icann2010_maxpool.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition<\/a> (Dominik Scherer et al., 2010),                     <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/adeshpande3.github.io\/adeshpande3.github.io\/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)<\/a> (Adit Deshpande, 2016),                     <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/rdipietro.github.io\/friendly-intro-to-cross-entropy-loss\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">A Friendly Introduction to Cross-Entropy Loss<\/a> (Rob DiPietro, 2016),                     <\/li><li><a aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.nzz.ch\/feuilleton\/mit-turing-und-heidegger-ueber-kuenstliche-intelligenz-nachdenken-ld.1451677\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Mit Turing und Heidegger \u00fcber k\u00fcnstliche Intelligenz nachdenken<\/a> (NZZ, 2019)         <\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\n        &nbsp;Datens\u00e4tze (frei verf\u00fcgbar): \n        <\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.kaggle.com\/datasets\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">Kaggle<\/a>: mehr als 16.000 Datasets aus den verschiedensten Bereichen, <\/li><li><a href=\"https:\/\/www.inaturalist.org\/\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">iNaturalist.org<\/a>: Tierbeobachtungen, weltweit                 <\/li><li><a href=\"https:\/\/dataverse.ada.edu.au\/dataset.xhtml?persistentId=doi:10.4225\/87\/7OZCZA\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">The Australian Election Study<\/a>  (Forschungsprojekt): long-term perspective on stability and change in  the political attitudes and behaviour of the Australian electorate. <\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Zusammenfassende Darstellungen<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li><a aria-label=\"HackingNote (opens in a new tab)\" href=\"https:\/\/www.hackingnote.com\/en\/machine-learning\/overview\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">HackingNote<\/a><\/li><li><a href=\"https:\/\/remicnrd.github.io.\/the-machine-learning-cheatsheet\" target=\"_blank\" aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">Machine Learning Cheatsheet<\/a> von R\u00e9mi Canard<\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Empfohlene Online-Ressourcen aus dem Bereich Data Science &nbsp;B\u00fccher (Online-Books): &#8218;A Byte of Python&#8216; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":2,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"class_list":["post-159","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Online-Ressourcen Data Science (Data 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