{"id":5115,"date":"2021-10-16T06:34:05","date_gmt":"2021-10-16T06:34:05","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2021\/10\/16\/dsc-weekly-digest-12-october-2021\/"},"modified":"2021-10-16T06:34:05","modified_gmt":"2021-10-16T06:34:05","slug":"dsc-weekly-digest-12-october-2021","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2021\/10\/16\/dsc-weekly-digest-12-october-2021\/","title":{"rendered":"DSC Weekly Digest 12 October 2021"},"content":{"rendered":"<p>Author: Kurt A Cagle<\/p>\n<div>\n<div class=\"dsc_primaryImage\"><span style=\"font-family: arial, helvetica, sans-serif;\"><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blog\/list?tag=dsc_newsletter\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/multimedia.getresponse360.com\/datascience-B\/photos\/ed9cf8df-db2e-441e-b4fd-03126c784e50.jpg\" alt=\"Facebook, Social Media, and Jumping Sharks\" title=\"Facebook, Social Media, and Jumping Sharks\" width=\"720\" height=\"443\" style=\"vertical-align: baseline;\"><\/a><\/span><\/div>\n<table style=\"width: 626px;\">\n<tbody>\n<tr>\n<td>\n<hr>\n<div>\n<div><span style=\"font-family: arial, helvetica, sans-serif;\"><strong><span style=\"font-size: 1.5em;\">Announcements<\/span><\/strong><\/span><\/div>\n<ul>\n<li>\n<p>Build statistical and analytical expertise as well as the management and leadership skills necessary to implement high-level, data-driven decisions in Northwestern\u2019s Online MS in Data Science. Earn your degree entirely online in classes that are led by industry experts who are redefining how data is used to boost efficiency and effectiveness in a wide range of fields. <a href=\"http:\/\/pubads.g.doubleclick.net\/gampad\/clk?id=5804871825&amp;iu=\/2672641\/ClickTracking\">Learn more<\/a><\/p>\n<\/li>\n<li>\n<p>Get to know TIBCO\u2019s enterprise analytics platform that allows data scientists and business users to collaborate on advanced analytics using massively scalable in-database and in-cluster processing. <a href=\"http:\/\/pubads.g.doubleclick.net\/gampad\/clk?id=5804874600&amp;iu=\/2672641\/ClickTracking\">Click here<\/a> for more info<\/p>\n<\/li>\n<\/ul>\n<hr>\n<p><a href=\"https:\/\/datasciencecentral.com\/\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/multimedia.getresponse360.com\/datascience-B\/photos\/340e9adb-bd41-49fb-bc67-e6e906928be9.jpg\" style=\"margin-left: 10pt;\" width=\"160\" height=\"600\" alt=\"Click to Become A Member of Data Science Central \" title=\"MADS\" align=\"right\"><\/a> <\/p>\n<h2 class=\"dsc_subtitle\"><span style=\"font-weight: normal;\" id=\"docs-internal-guid-94eb2279-7fff-e0bb-bfd3-1b9ed4957bf0\"><span style=\"font-size: 16pt; background-color: transparent; font-weight: bold; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;\">Spooky Scary Data Science Skeletons<\/span><\/span><\/h2>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">October is the spookiest time of the year, when the ghosts and witches are out in force, there&#8217;s a chill in the air as gray clouds gather, and pumpkin-flavored, well, just about anything anymore seems ubiquitous. I blame a particular Seattle coffee chain for the last one, but there&#8217;s something about moving into Fall that focuses one&#8217;s mind on the spooky scary skeletons lurking underneath the bed.<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">In the realm of the data scientist, there are more than a few skeletons hiding in the closets as well. These are the things that keep analysts up at night, and no matter how well prepared you may be, these jump scares are enough to send anyone screaming.<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Data Quality Demons.<\/span> <span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The business manager assured you that their data&#8217;s great and has everything you could ever need. Yet when you pry the lid off the coffin and stare at the mouldering remains of software projects past, you get the creeping sensation that perhaps the manager was a bit \u2026 optimistic \u2026 in his estimates. Inconsistencies in spelling, the use of arbitrary placeholders, lists of items stored as single strings, differing date and currency conventions, data type errors, these can usually be dispelled with intelligent analysis software, but the bigger demons come about due to cardinality misunderstandings, a failure to account for change in data over time, duplications with subsequent edits creating phantom information, and similar errors that can be difficult to catch and even harder to fix.<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Sparse Metadata Monsters.<\/span> <span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">These are more sublime issues having to do with data that was collected primarily to facilitate fast transactions at the expense of containing minimal metadata about those transactions. This includes identifying dimensional units (length, currency, and count units, such as three books not being the same as three cars), identifying the time over which a certain entity exists within the system, metadata about the provenance of the data (who entered it, why did they enter it, how valid is it, where is the source of record for that data), and so on. This data often determines the reliability of the data.<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Modeling Mayhem.<\/span> <span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A recent prepress article about COVID-19 vaccine efficacies in Wisconsin made a modeling assumption about the number of people who had been vaccinated in the state. It turned out that the number was off by a factor of 100, and what had seemed like a strong statistical case against the vaccine became instead a strong case for the vaccine. These kinds of modeling errors can break careers.<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Bias Boggarts.<\/span> <span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Sampling by its very nature can be fraught with gotchas. Is the sample representative of the overall population? What hidden assumptions were made about the questions being asked or the means that the information is gathered? For a long time, surveys were conducted over LAN lines, until a statistician realized that a growing number of people were no longer using them in favor of mobile phones, and those that were left were older, more conservative, and likely wealthier, skewing everything from product marketing to politics.\u00a0<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Interpretation Imps.<\/span> <span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Having created a model and run the data, ultimately the question is how to interpret the results, and it is here that the imps of the perverse delight in ruining a data scientist&#8217;s day. Are the conclusions supported by the analysis? Is it possible that those who have commissioned the analysis will ignore all of the caveats about probabilities and will treat the results as absolute statements? (Yes). Will people justify their own agendas based upon your conclusions, even when the conclusions do not support those results at all? Oh, definitely.<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Data Science can be fun and exciting, but it can also be filled with deadly traps and snarling beasts. Sometimes the best that you can do is to be aware of all the goblins and ghoulies, and of course, read <a href=\"http:\/\/datasciencecentral.com\/\">Data Science Central<\/a>.<\/span><\/p>\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\">\n<p dir=\"ltr\" style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Goodnight, sleep tight \u2026 don&#8217;t let the bedbugs bite!<\/span><\/p>\n<p><strong><a href=\"mailto:kcagle@techtarget.com\">Kurt Cagle<\/a><\/strong><br \/> Community Editor,<br \/><a href=\"https:\/\/datasciencecentral.com\/\">Data Science Central<\/a><\/p>\n<p dir=\"ltr\"><i>To subscribe to the DSC Newsletter, go to <a href=\"https:\/\/datasciencecentral.com\/\">Data Science Central<\/a> and\u00a0become a member today. It&#8217;s free!\u00a0<\/i><\/p>\n<\/div>\n<div class=\"dsc_section\">\n<hr>\n<div class=\"dsc_sectionBody\">\n<h2 class=\"dsc_subtitle\"><span style=\"font-family: arial, helvetica, sans-serif;\">Data Science Central Editorial Calendar<\/span><\/h2>\n<p>DSC is looking for editorial content specifically in these areas for October, with these topics having higher priority than other incoming articles.<\/p>\n<ul>\n<li><span style=\"font-size: 10pt;\">AI-Enabled Hardware<\/span><\/li>\n<li><span style=\"font-size: 10pt;\">Knowledge Graphs<\/span><\/li>\n<li><span style=\"font-size: 10pt;\">Metaverse<\/span><\/li>\n<li>Javascript and AI<\/li>\n<li>GANs and Simulations<\/li>\n<li>ML in Weather Forecasting<\/li>\n<li>UI, UX and AI<\/li>\n<li><span style=\"font-size: 10pt;\">GNNs and LNNs<\/span><\/li>\n<li><span style=\"font-size: 10pt;\">Digital Twins<\/span><\/li>\n<\/ul>\n<\/div>\n<hr>\n<div class=\"dsc_section\">\n<h2 class=\"dsc_subtitle\">DSC Featured Articles<\/h2>\n<ul>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<span style=\"font-size: 12pt;\">\u00a0<\/span><b style=\"font-size: 12pt;\"><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1072082?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Cloud Consulting Services: A New Paradigm Emerges<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/DivyeshAegis\">Divyesh Aegis<\/a>\u00a0on 11 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071743?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Sunglasses and Face Mask Won&#8217;t Fool Facial Recognition Systems Any More<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/StephanieGlen\">Stephanie Glen<\/a>\u00a0on 11 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071848?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">A window of opportunity for data democracy (Part II of III)<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/AlanMorrison\">Alan Morrison<\/a>\u00a0on 10 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071900?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Human In The Loop: A Case for Human Augmented Interaction<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/ajitjaokar\">ajit jaokar<\/a>\u00a0on 09 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1072105?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">PyHard \u2013 A tool to assess dataset quality and identify hard-to-classify instances in general<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/KushalMukherjee\">Kushal Mukherjee<\/a>\u00a0on 08 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1072012?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Retail Predictive Analytics: Popular Use Cases<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/RyanWilliamson\">Ryan Williamson<\/a>\u00a0on 08 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071798?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">How to build trust in AI<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/NoraWinkens\">Nora Winkens<\/a>\u00a0on 08 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071862?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">What Skills to Look for When Hiring a Python Developer<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/MahipalsinhRana\">INEXTURE Solutions LLP<\/a>\u00a0on 08 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071842?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">How to manage Supply Chain during COVID-19<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/Vinaksh\">Vinaksh<\/a>\u00a0on 07 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1072001?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Data Quality Focused Data Pipelines<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/Indhu\">Indhu<\/a>\u00a0on 07 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1070981?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Download book for data science beginners &#8211; Learn Data Science with R<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/NaryanaNemani\">Naryana Nemani<\/a>\u00a0on 07 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1069115?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Efficiently Donating Excess COVID Vaccine Supplies<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/SaifAhmed837\">Saif Ahmed<\/a>\u00a0on 06 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071731?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">How Artificial Intelligence Is Powering Search Engines<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/EdwardNick\">Edward Nick<\/a>\u00a0on 06 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071667?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">DSC Weekly Digest 05 October 2021<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/KurtCagle\">Kurt A Cagle<\/a>\u00a0on 06 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071656?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">How Digital Marketing Is Evolving and What the Benefits of Digital Marketing Platforms Are<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/YuriFilatov\">Yuri Filatov<\/a>\u00a0on 06 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071562?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Lessons to be Learned from the Facebook Outage<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/VincentGranville\">Vincent Granville<\/a>\u00a0on 06 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071638?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">How to Set up a React JS Development Environment<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/KamalSingh561\">Devstringx Technologies<\/a>\u00a0on 05 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071494?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Remote Work in the IT Industry: Stats, Benefits, and Best Practices<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/TarunNagar\">Tarun Nagar<\/a>\u00a0on 05 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1070987?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">How to Turn Your WordPress Site Into an App<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/JasonCamaya\">Jason Camaya<\/a>\u00a0on 05 Oct 2021<\/div>\n<\/li>\n<li style=\"font-size: 12pt;\">\n<div>\u00a0<b><a href=\"http:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:1071262?uid=1&amp;utm_source=DSC&amp;utm_medium=web&amp;utm_campaign=newsletter2021-10-11\" class=\"article-link\" style=\"font-size: 9pt;\">Adding RDF Lists and Sequences To Sparql<\/a><\/b>\n<\/div>\n<div class=\"dsc_byline\">\u00a0\u00a0\u00a0\u00a0\u00a0<a href=\"https:\/\/www.datasciencecentral.com\/profile\/KurtCagle\">Kurt A Cagle<\/a>\u00a0on 05 Oct 2021<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<hr>\n<div><span 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