{"id":783,"date":"2019-05-13T15:10:10","date_gmt":"2019-05-13T15:10:10","guid":{"rendered":"http:\/\/mribeirodantas.xyz\/blog\/?p=783"},"modified":"2019-05-13T15:47:46","modified_gmt":"2019-05-13T15:47:46","slug":"best-links-of-the-week-18","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/05\/13\/best-links-of-the-week-18\/","title":{"rendered":"Best links of the week #18"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 6th May to 12th May<\/h3>\n\n\n\n
\"\"
Source: xkcd<\/a>.<\/figcaption><\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. NextJournal<\/a>, Seamless Data Science for Teams.<\/li>
  2. An executive’s guide to AI<\/a>.<\/li>
  3. What should I use to serve R applications over the internet?<\/a> at Brian Caffo’s YouTube channel<\/a>. He talks about PlumbeR<\/a> (PlumbeR book here<\/a>).<\/li>
  4. Will AI eat statistics?<\/a> at Brian Caffo’s YouTube channel<\/a>.<\/li>
  5. A radical new neural network design could overcome big challenges in AI<\/a> at MIT Technology Review<\/a>.<\/li>
  6. Urgent need for a government-led big data system, say industry experts<\/a> at The Edge Markets<\/a>.<\/li>
  7. Top 10 Cities Across The Globe With The Highest Pay Packages For Data Scientists<\/a> at Analytics India<\/a>.<\/li>
  8. What Nobody Tells You About Machine Learning<\/a> at Forbes<\/a>.<\/li>
  9. How the data mining of failure could teach us the secrets of success<\/a> at MIT Technology Review<\/a>.<\/li>
  10. How to hide from the AI surveillance state with a color printout<\/a> at MIT Technology Review<\/a>.<\/li>
  11. Boosting (machine learning)<\/a> at Wikipedia<\/a>.<\/li>
  12. Weak Learning, Boosting, and the AdaBoost algorithm<\/a> at Jeremy Kun’s Blog<\/a>.<\/li>
  13. Weak vs. Strong Learning and the Adaboost Algorithm<\/a> at Jenn Wortman Vaughan’s Website<\/a>.<\/li>
  14. What is a weak learner?<\/a> at StackOverflow<\/a>.<\/li>
  15. AI est\u00e1 pronta para transformar radicalmente o desenvolvimento de software<\/a> at CIO<\/a>.<\/li>
  16. O or\u00e7amento das universidades e institutos federais desde 2000<\/a> at NexoJornal<\/a>.<\/li>
  17. O governo contra as universidades, em dados e an\u00e1lises<\/a> at NexoJornal<\/a>.<\/li>
  18. Existe alguma microevolu\u00e7\u00e3o documentada nos humanos nos \u00faltimos duzentos anos?<\/a> at Quora<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Pearl’s Causal Ladder<\/a> at Smitha Milli’s Blog<\/a>.<\/li>
    2. Artificial Intelligence\u200a\u2014\u200aThe Revolution Hasn\u2019t Happened Yet<\/a> at Michael Jordan Medium<\/a>.<\/li>
    3. A Gentle Introduction to Transfer Learning for Deep Learning<\/a> at Machine Learning Mastery<\/a>.<\/li>
    4. Transfer learning<\/a> at Wikipedia<\/a>.<\/li>
    5. The Four Cs of Data + Design<\/a> at Ben Fry’s Medium<\/a>.<\/li>
    6. Winning Solution of KaggleDays 2019 Competition in San Francisco<\/a> at Mark Peng’s LinkedIn<\/a>.<\/li>
    7. What is One Hot Encoding? Why And When do you have to use it?<\/a> at Hackernoon<\/a>.<\/li>
    8. Cross-Validation for Predictive Analytics using R<\/a> at MilanoR<\/a>.<\/li>
    9. O que faz um Engenheiro de Dados? by Allan Sene<\/a> at Data Hackers’ Medium<\/a>.<\/li>
    10. Os Tipos de Engenheiros de Dados by Allan Sene<\/a> at Data Hackers’ Medium<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Cross Validation in R | Arpan Gupta | Data Scientist & IITian<\/a> at Data Science by Arpan Gupta IIT,Roorkee<\/a>.<\/li>
      2. Introduction to Data Science with R – Cross Validation<\/a> at David Langer<\/a> YouTube channel.<\/li><\/ol>\n\n\n\n

        Scientific Article<\/h4>\n\n\n\n
        1. On Weak Learning<\/a> at Journal of Computer and System Sciences<\/a>.<\/li>
        2. Quantifying dynamics of failure across science, startups, and security<\/a> at arXiv.org<\/a>.<\/li><\/ol>\n\n\n\n

          Podcasts<\/h4>\n\n\n\n
          1. Epis\u00f3dio 020: Estat\u00edstica e Machine Learning<\/a> at Pizza de Dados.<\/li><\/ol>\n\n\n\n

            Positions available<\/h4>\n\n\n\n
            1. Est\u00e1gio em Intelig\u00eancia Artificial<\/a> at docket.<\/li>
            2. Engenheiro de dados<\/a> at B2W Digital.<\/li>
            3. Professor(a) plataformas Cloud<\/a> at Alura.<\/li>
            4. Analista de Business Intelligence<\/a> at Youse.<\/li>
            5. Engenharia de Dados<\/a> at petlove.<\/li>
            6. Several opportunities<\/a> at Science Me Up!<\/li>
            7. Analista de Banco de Dados<\/a> at RecrutaSimples.<\/li>
            8. Consultor BI\/Big Data\/Analytics<\/a> at RedFox Solu\u00e7\u00f5es Digitais.<\/li>
            9. Est\u00e1gio – BIG Data\/Analytics<\/a> at RedFox Solu\u00e7\u00f5es Digitais.<\/li>
            10. Analista de Dados (Business Intelligence)<\/a> at INSIDE SALES.<\/li>
            11. Cientista de Dados<\/a> at Yellow Rec.<\/li>
            12. Analista de Business Intelligence<\/a> at Gente e Gest\u00e3o & Projetos.<\/li>
            13. Several data positions<\/a> at Farfetch.<\/li>
            14. Analista de Dados (Business Intelligence)<\/a> at Stone Pagamentos.<\/li>
            15. Arquiteto de Solu\u00e7\u00f5es Cloud<\/a> at Hitss do Brasil Servi\u00e7os Tecnol\u00f3gicos LTDA.<\/li>
            16. Analista BI (foco em dados)<\/a> at ENJOEI.<\/li>
            17. Est\u00e1gio em Engenharia de Dados<\/a> at Data Sprints.<\/li>
            18. Profissional de Engenharia de Dados (Data Engineer)<\/a> at Magnetis.<\/li>
            19. Open PhD call 2019 – Italian Institute of Technology (Pattern Analysis & Computer Vision – PAVIS & Visual Geometry and Modeling Lab – VGM Lab) and University of Genova, Italy<\/a>.<\/li>
            20. 3 year PhD position in Deep Learning for Text Analytics @ U Essex<\/a>.<\/li>
            21. 3-year position on Text Analytics & Image Processing for Post-doc\/Pre-doctoral researcher in London (KTP – Innovate UK)<\/a>.<\/li>
            22. PhD openings in machine learning and artificial intelligence for UAV communications and tracking (here<\/a> and here<\/a>).<\/li>
            23. PhD in Biomedical Information Extraction, The University of Manchester<\/a>.<\/li>
            24. Funded PhD position on Behaviour-Driven Optimisation of Neural Connectivity at the University of Plymouth, UK<\/a>.<\/li>
            25. Two postdoctoral research positions on Data Science at the University of Exeter<\/a>.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

              Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>Weak learning, Transfer learning, Cross Validation and much more! Come and check one more release of my best links of the week \ud83d\ude42<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[8],"tags":[9,65,64,63,25,10],"class_list":["post-783","post","type-post","status-publish","format-standard","hentry","category-bestlinks","tag-causality","tag-cross-validation","tag-data-professions","tag-machine-learning","tag-r","tag-statistics"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #18 - The Dataist Storyteller<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/05\/13\/best-links-of-the-week-18\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best links of the week #18 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 3 minutesWeak learning, Transfer learning, Cross Validation and much more! 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