{"id":2930,"date":"2019-12-16T06:30:46","date_gmt":"2019-12-16T06:30:46","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/12\/16\/weekly-digest-december-16\/"},"modified":"2019-12-16T06:30:46","modified_gmt":"2019-12-16T06:30:46","slug":"weekly-digest-december-16","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/12\/16\/weekly-digest-december-16\/","title":{"rendered":"Weekly Digest, December 16"},"content":{"rendered":"<p>Author: Vincent Granville<\/p>\n<div>\n<p><span>Monday newsletter published by Data Science Central. Previous editions can be found\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/page\/previous-digests\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>. The contribution flagged with a + is our selection for the picture of the week. To subscribe,\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/check-out-our-dsc-newsletter\" target=\"_blank\" rel=\"noopener noreferrer\">follow this link<\/a>.\u00a0\u00a0<\/span><br \/><span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/weekly-digest-september-16-1\"><\/a><\/span><\/p>\n<div>\n<p><span><strong>Featured Resources and Technical Contributions\u00a0<\/strong><\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/math-for-data-science\">Math for Data Science in One Picture<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/using-record-id-s-to-facilitate-processing-in-python-pandas-and-r\">Using &#8220;record id&#8217;s&#8221; to facilitate processing\u00a0<\/a>in Python-Pandas and R-data.table<\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/statistics-for-data-science-in-one-picture\">Statistics for Data Science in One Picture<\/a>\u00a0+<\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/deep-analytics-risk-management-with-ai\">Deep Analytics: Risk Management with AI<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/self-aware-streaming\">Self Aware Streaming with ARIMA (Time Series) Models<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/make-crucial-predictions-as-data-comes\">Make Crucial Predictions as Data Comes, with Flink-JPMML<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/the-rise-of-fake-news-a-machine-learning-challenge\">The Rise of Fake News: A Machine Learning Challenge<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/fun-with-maps-part-2\">Fun With Maps: Part 2<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/web-scraping-with-a-headless-browser-a-puppeteer-tutorial\">Web Scraping with a Headless Browser: A Puppeteer Tutorial<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/what-are-the-core-skills-needed-in-data-science-4\">What are the Core Skills needed in Data Science?<\/a><\/li>\n<\/ul>\n<p><span><strong>Featured Articles<\/strong><\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/rule-of-thumb-which-ai-ml-algorithms-to-apply-to-business-1\">Rule of thumb: Which AI \/ ML algorithms to apply to business problems<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/crossing-the-ai-chasm-with-infographics\">Crossing the AI Chasm with Infographics<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/creating-assets-that-appreciate-not-depreciate-in-value-thru\">Creating Assets that Appreciate, Not Depreciate, in Value\u00a0<\/a>Thru Continuous Learning \u2013 Part II<\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/cpu-vendors-compete-over-memory-bandwidth-to-achieve-leadership\">CPU Vendors Compete Over Memory Bandwidth\u00a0<\/a>&#8211; to Achieve Leadership in Real-World Application Performance<\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/2020-trends-predictions-and-challenges-for-data-management-and\">2020 Trends, Predictions and Challenges for Data Management\u00a0<\/a>and Privacy<\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/performance-evaluation-of-cloud-computing-platforms-for-machine\">Performance evaluation of cloud computing platforms for Machine Learning<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/it-is-never-too-late-to-learn\">It Is Never Too Late To Learn!<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/android-app-development-tips-for-ai-integration\">Android App Development: Tips for AI Integration<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/why-event-stream-processing-is-leading-the-new-big-data-era\">Why Event Stream Processing Is Leading the New Big Data Era<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/machine-learning-market-is-rising-due-to-rapid-increase-in\">ML Market is Rising Due to Rapid Increase in Unstructured Data<\/a><\/li>\n<\/ul>\n<p><span><strong>Picture of the Week<\/strong><\/span><\/p>\n<p><a href=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/3772014399?profile=original\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/3772014399?profile=RESIZE_710x\" class=\"align-center\"><\/a><\/p>\n<p style=\"text-align: center;\"><span><em>Source: article flagged with a +\u00a0<\/em><\/span><\/p>\n<p><strong>New Books and Resources for DSC Members<\/strong><span>\u00a0<\/span>&#8211; [<a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/new-books-and-resources-for-dsc-members\">See Full List<\/a>]<\/p>\n<ul>\n<li><span><a href=\"https:\/\/dsc.news\/2IyZgPk\" rel=\"noopener noreferrer\" target=\"_blank\">Getting Started with TensorFlow 2.0<\/a><\/span><\/li>\n<li><a href=\"https:\/\/dsc.news\/2pZ2aXt\" rel=\"noopener noreferrer\" target=\"_blank\">Online Encyclopedia of Statistical Science<\/a><\/li>\n<li><a href=\"https:\/\/dsc.news\/2IByRkm\" rel=\"noopener noreferrer\" target=\"_blank\">Statistics &#8212; New Foundations, Toolbox, and Machine Learning Recipes<\/a><\/li>\n<li><span><a href=\"https:\/\/dsc.news\/2EbQCo4\" rel=\"noopener noreferrer\" target=\"_blank\">Classification and Regression In a Weekend<\/a><\/span><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/fee-book-applied-stochastic-processes\" rel=\"noopener noreferrer\" target=\"_blank\">Applied Stochastic Processes<\/a><\/li>\n<li><span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/new-book-enterprise-ai-an-applications-perspective\" rel=\"noopener noreferrer\" target=\"_blank\">Enterprise AI &#8211; An Applications Perspective<\/a><\/span><\/li>\n<\/ul>\n<p><span>To make sure you keep getting these emails, please add\u00a0\u00a0mail@newsletter.datasciencecentral.com\u00a0to your address book or whitelist us. To subscribe, click\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/check-out-our-dsc-newsletter\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>. Follow us:\u00a0<a href=\"https:\/\/twitter.com\/DataScienceCtrl\">Twitter<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.facebook.com\/DataScienceCentralCommunity\/\">Facebook<\/a>.<\/span><\/p>\n<\/div>\n<\/div>\n<p><a href=\"https:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:915213\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found\u00a0here. The contribution flagged with a + is our selection for [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2019\/12\/16\/weekly-digest-december-16\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":468,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2930"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=2930"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2930\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/475"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=2930"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=2930"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=2930"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}