{"id":656,"date":"2019-04-22T19:13:03","date_gmt":"2019-04-22T19:13:03","guid":{"rendered":"http:\/\/mribeirodantas.xyz\/blog\/?p=656"},"modified":"2019-05-11T20:58:00","modified_gmt":"2019-05-11T20:58:00","slug":"best-links-of-the-week-15","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/04\/22\/best-links-of-the-week-15\/","title":{"rendered":"Best links of the week #15"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 15th April to 21st April<\/h3>\n\n\n\n
\"\"
Source: Towards Data Science<\/a>.<\/figcaption><\/figure><\/div>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. <\/a>When it comes to clustering, depending on the algorithm used, one may have a hard time determining the appropriate <\/a>k<\/a><\/em> (number of clusters)<\/a>. Some algorithms do not require it, but for the ones that do, such as k-means<\/em>, you should have a look at the elbow method<\/a> to evaluate the appropriate k<\/em> or at the silhouette<\/a> of objects regarding the clusters.<\/li>
  2. Dunder Data<\/a> is a professional training company dedicated to teaching data science and machine learning. There is paid and free online material.<\/li>
  3. Software Carpentry<\/a>, teaching basic lab skills for research computing.<\/li>
  4. ROpenSci<\/a>, transforming science through open data and software.<\/li>
  5. mlmaisleve<\/a>, conceitos r\u00e1pidos e leves sobre Machine Learning ?.<\/li>
  6. kite<\/a>, Code Faster in Python with Line-of-Code Completions.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Correlation does not even imply\u00a0<\/a>correlation<\/a><\/em> (tricky, but worth a read) at Andrew Gelman’s Blog<\/a>.<\/li>
    2. Why are (almost all) economists unaware of Milton Friedman’s thermostat?<\/a> at Worthwhile Canadian Initiative<\/a>.<\/li>
    3. Comments about above link here<\/a> at The Monkey Cage<\/a>.<\/li>
    4. Summer Short Course \u201cAn Introduction to Causal Inference\u201d<\/a> at Causal Analysis in Theory and Practice<\/a>.<\/li>
    5. The Master Algorithm<\/a> at Data Skeptic<\/a>.<\/li>
    6. The 5 Basic Statistics Concepts Data Scientists Need to Know<\/a> by George Seif<\/a> at Towards Data Science<\/a>.<\/li>
    7. The 5 Clustering Algorithms Data Scientists Need to\u00a0Know<\/a> by George Seif<\/a> at Towards Data Science<\/a>.<\/li>
    8. Into the world of clustering algorithms: k-means, k-modes and\u00a0k-prototypes<\/a> by Alessia Saggio<\/a> at AMVA4NewPhysics<\/a>.<\/li>
    9. K-modes<\/a> at The Shape of Data<\/a>.<\/li>
    10. Hierarchical clustering with mixed type data – what distance\/similarity to use?<\/a> at Cross Validated<\/a>.<\/li>
    11. It\u2019s Okay to Break the Rules, Sometimes<\/a> by Ken Flerlage<\/a> at Data Visualization Society<\/a>.<\/li>
    12. How Pew Research Center uses small multiple charts<\/a> by Peter Bell<\/a> at Decoded \/ Pew Research Center<\/a>.<\/li>
    13. How do we know when a visualization is good? Perspectives from a cognitive scientist<\/a> by Lace Padilla<\/a> at Multiple Views – Visualization Research Explained<\/a>.<\/li>
    14. An\u00e1lise das V\u00edtimas de Acidentes de Tr\u00e2nsito nas Rodovias Brasileiras – Parte 2<\/a> at Gabriel Lima Goes LinkedIn Profile<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Algoritmos Gen\u00e9ticos – Aplica\u00e7\u00e3o no R<\/a> at EstaTiDados<\/a> YouTube Channel.
        <\/li><\/ol>\n\n\n\n

        Positions available<\/h4>\n\n\n\n
        1. <\/a>Engenheiro(a) de Dados<\/a> at Conta Azul.<\/li>
        2. Data Scientist J\u00fanior<\/a> at Diin.<\/li>
        3. Technical Architect (Associate Director)<\/a> at IQVIA.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

          Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>In this best links of the week, there is an interesting focus in clustering techniques and data visualization. I hope you like it!<\/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":[8,24],"tags":[52,11,25,10],"class_list":["post-656","post","type-post","status-publish","format-standard","hentry","category-bestlinks","category-r","tag-data-visualization","tag-datascience","tag-r","tag-statistics"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #15 - 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\/04\/22\/best-links-of-the-week-15\/\" \/>\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 #15 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 2 minutesIn this best links of the week, there is an interesting focus in clustering techniques and data visualization. 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