{"id":1773,"date":"2019-10-07T10:19:53","date_gmt":"2019-10-07T10:19:53","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=1773"},"modified":"2019-10-07T10:21:48","modified_gmt":"2019-10-07T10:21:48","slug":"best-links-of-the-week-39","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/10\/07\/best-links-of-the-week-39\/","title":{"rendered":"Best links of the week #39"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 30th September to 6th October<\/h3>\n\n\n\n
\"\"<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Facebook Fudges Your Password for Your Convenience<\/a> at HowToGeek<\/a>.<\/li>
  2. Password Strength<\/a> at xkcd<\/a>.<\/li>
  3. Are Dark Themes Really Better for Your Eyes and Battery?<\/a> at MakeTechEasier<\/a>.<\/li>
  4. 5 secrets of master storytellers<\/a> at The Enterprisers Project<\/a>.<\/li>
  5. Est\u00f4nia quer substituir os ju\u00edzes por rob\u00f4s<\/a> at \u00c9poca Neg\u00f3cios<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Comparing Database Types: How Database Types Evolved to Meet Different Needs<\/a> at Prisma<\/a>.<\/li>
    2. What is Data Engineering?<\/a> by Lindsey Whitley<\/a> at Gusto Engineering’s Medium<\/a>.<\/li>
    3. General Myths to avoid in Data Science and Machine Learning<\/a> by vibhor nigam<\/a> at Towards Data Science<\/a>.<\/li>
    4. Detecting Audio Deepfakes With AI<\/a> at Dessa’s Medium<\/a>.<\/li>
    5. How to make every student a maths \u2018expert\u2019<\/a> by Junaid Mubeen<\/a> at Q.E.D.’s Medium<\/a>.<\/li>
    6. How (not) to memorise mathematics<\/a> by Junaid Mubeen<\/a> at Hackernoon<\/a>.<\/li>
    7. P-value Explained Simply for Data Scientists<\/a> by Rahul Agarwal<\/a> at Towards Data Science<\/a>.<\/li>
    8. How to Learn Data Science for Free<\/a> by Rebecca Vickery<\/a> at Towards Data Science<\/a>.<\/li>
    9. The 3 Missing Roles that every Data Science Team needs to Hire<\/a> by Ganes Kesari<\/a> at Towards Data Science<\/a>.<\/li>
    10. Are Neural Networks Capable of Abstract Reasoning? Let\u2019s Use an IQ Test to Prove It<\/a> by Jesus Rodriguez<\/a> at Towards Data Science<\/a>.<\/li>
    11. Not always predictive analytics is required, Exploratory Analysis can do wonders<\/a> by Anshul Kanthaliya<\/a> at Towards Data Science<\/a>.<\/li>
    12. This is Why Nobody is Reading Your Content<\/a> by Adrian Drew<\/a> at The Writing Cooperative’s Medium<\/a>.<\/li>
    13. How to Make a Living as a Writer \u2014 Everything I Know<\/a> by Kern Carter<\/a> at C.R.Y<\/a>.<\/li>
    14. Artificial Intelligence and Medicine: Is It Overhyped?<\/a> by Oleksii Kharkovyna<\/a> at Hackernoon<\/a>.<\/li>
    15. Clickbait ou N\u00e3o? Usando Naive Bayes Para Classificar T\u00edtulos do Buzzfeed<\/a> by Jo\u00e3o Gabriel Z\u00f3<\/a> at Data Hackers’ Medium<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Artigo cient\u00edfico rejeitado? Aceito com modifica\u00e7\u00f5es? Responda editores e revisores adequadamente<\/a> at Canal Descomplicado’s YouTube channel<\/a>.<\/li><\/ol>\n\n\n\n

        Podcasts<\/h4>\n\n\n\n
        1. C\u00e2ncer de Mama (Reimagine o C\u00e2ncer #05)<\/a> at SciCast (Portal Deviante)<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Arquiteto de dados<\/a> at ShareRH.<\/li>
          2. Data Engineer Pleno<\/a> at Jeitto.<\/li>
          3. Data Scientist Pleno<\/a> at Jeitto.<\/li>
          4. Cloud Engineering<\/a> at Quero Educa\u00e7\u00e3o.<\/li>
          5. Engenheiro de Dados<\/a> at Iteam.<\/li>
          6. DBA Oracle S\u00eanior<\/a> at Iteam.<\/li>
          7. Data Engineer<\/a> at HABITO.<\/li>
          8. Data Science Analyst II<\/a> at Corporate.<\/li>
          9. Data Science Analyst III<\/a> at Corporate.<\/li>
          10. Analista de Dados<\/a> at Cunha & Petreche.<\/li>
          11. Analista de Modelagem de Dados<\/a> at Cunha & Petreche.<\/li>
          12. Data Analytics Jr<\/a> at docket.<\/li>
          13. Research Associate – Computational modelling of memory in sleep<\/a> at Cardiff University.<\/li>
          14. Postdoctoral Associate – Edge ML\/AI for Advanced Urban Sensing Platform<\/a> at New York University.<\/li>
          15. Cluster hire of Tenure Track Faculty in Urban Science and Engineering<\/a> at New York University.<\/li>
          16. University Lecturer\/ University Senior Lecturer<\/a> in Machine Learning \/ Data Science at the University of Cambridge.<\/li>
          17. Two Ph.D. Candidates in Software and Data Science<\/a> at Radboud University.<\/li>
          18. Postdoctoral Position in Software Science<\/a> at Radboud University.<\/li>
          19. Post Doc Researcher \u2013 Machine Learning<\/a> at Microsoft Research.<\/li>
          20. Full Professor of Artificial Intelligence Techniques<\/a> at TU Wien.<\/li>
          21. Asst, Assoc or Full Professor \u2013 Computer Science and Engineering (2 Positions)<\/a> at the University of Nebraska-Lincoln.<\/li>
          22. Research internship in Reinforcement Learning for Controlled Text Generation<\/a> at NAVER LABS Europe.<\/li>
          23. Postdoctoral Research Assistant in Motion Planning for Legged Locomotion<\/a> at the University of Oxford.<\/li>
          24. Flatiron Research Fellow, Machine Learning & Statistics<\/a> at SIMONS Foundation.<\/li>
          25. Research associate position in machine learning \/ deep learning: automated generation of web pages<\/a> at Romanian Institute of Science and Technology.<\/li>
          26. Developer in Computer Vision and Machine Learning Research<\/a> at DynAikon.<\/li>
          27. Research Fellow (cognitive-computational (neuro)science)<\/a> at Max Planck UCL Centre for Computational Psychiatry and Ageing Research.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

            Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>Data Analyst? Data Scientist? Data Engineer? Relational Databases? NoSQL? Graph database? Key-value? So many terms, right? Come with me and let’s learn a bit about them :-).<\/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":[],"class_list":["post-1773","post","type-post","status-publish","format-standard","hentry","category-bestlinks"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #39 - 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\/10\/07\/best-links-of-the-week-39\/\" \/>\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 #39 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 2 minutesData Analyst? 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