{"id":1323,"date":"2019-07-29T16:13:02","date_gmt":"2019-07-29T16:13:02","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=1323"},"modified":"2019-07-29T16:13:15","modified_gmt":"2019-07-29T16:13:15","slug":"best-links-of-the-week-29","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/07\/29\/best-links-of-the-week-29\/","title":{"rendered":"Best links of the week #29"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 22nd July to 28th July<\/h3>\n\n\n\n
\"\"<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Listen to people all over the world pronouncing the name of countries and capitals<\/a>.<\/li>
  2. Write a letter to the future!<\/a><\/li>
  3. A Personal Journey into Bayesian Networks<\/a> by Judea Pearl.<\/li>
  4. An innovative way to publish<\/a> at Nature<\/a>.<\/li>
  5. Here’s What Fruits And Vegetables Looked Like Before We Domesticated Them<\/a> at Science Alert<\/a>.<\/li>
  6. Regression Sensitivity Analysis: the Robustness Value and the partial R\u00b2<\/a>, a shiny app by Carlos Cinelli<\/a>.<\/li>
  7. Do you need to normalize your input data for Random Forests and Neural Networks?<\/a> (More on Random Forests here<\/a>) at Data Science (Stack Exchange)<\/a>.<\/li>
  8. Cumulative Variable Importance for Random Forest (RF) Models<\/a> at Rich Pauloo’s Gists<\/a>.<\/li>
  9. Contributing to the R ecosystem<\/a> by Colin Fay<\/a> at SpeakerDeck<\/a>.<\/li>
  10. Entrevista: Por que homeopatia \u00e9 placebo \u2013 e n\u00e3o deve ser paga pelo SUS<\/a> at Super Interessante<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Drawing maps in R<\/a> at Emil Malta’s personal website<\/a>.<\/li>
    2. Getting Open Data into R from CKAN<\/a> at R-Bloggers<\/a>.<\/li>
    3. How to write your own ggplot2 functions in R<\/a> at InfoWorld<\/a>.<\/li>
    4. Understanding basics of data science<\/a> by Sharayu Rane<\/a> at Data Science Central<\/a>.<\/li>
    5. Huge Trello List of Great Data Science Resources<\/a> by Thia Kai Xin<\/a> at Data Science Central<\/a>.<\/li>
    6. Why do Decision Trees Work?<\/a> by Amelia Matteson<\/a> at Data Science Central<\/a>.<\/li>
    7. Sample Size Formula<\/a> at Statistics Solutions<\/a>.<\/li>
    8. Improving performance of random forests for a particular value of outcome by adding chosen features<\/a> at Mathematician in Data Science<\/a>.<\/li>
    9. Sample Projects for Data Scientists in Training<\/a> by Vincent Granville<\/a> at Data Science Central<\/a>.<\/li>
    10. 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study<\/a> by John Sullivan<\/a> at Towards Data Science<\/a>.<\/li>
    11. 10 Required Non-technical Skills for a Data Scientist<\/a> by Khosrow Hassibi<\/a> at Data Science Central<\/a>.<\/li>
    12. Crash Course On Multi-Layer Perceptron Neural Networks<\/a> by Jason Brownlee<\/a> at Machine Learning Mastery<\/a>.<\/li>
    13. Invariant Risk Minimization: An Information Theoretic View<\/a> at inFERENCe<\/a>.<\/li>
    14. Using Decision Theory to Justify Your Alpha<\/a> at Daniel Laken’s The 20% Statistician<\/a>.<\/li>
    15. Raspagem de dados sem escrever c\u00f3digo<\/a> at Pizza de Dados<\/a>.<\/li>
    16. Um passeio pelo backstage de um podcast<\/a> at Pizza de Dados<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Making Sense of Sensitivity: Extending Omitted Variable Bias by Carlos Cinelli<\/a> at Berkeley Initiative for Transparency in the Social Sciences (BITSS)<\/a> YouTube channel.<\/li><\/ol>\n\n\n\n

        Scientific Articles<\/h4>\n\n\n\n
        1. What You See May Not Be What You Get: A Brief, Nontechnical Introduction to Overfitting in Regression-Type Models<\/a> at Psychosomatic Medicine<\/a>.<\/li>
        2. The number of subjects per variable required in linear regression analyses<\/a> at Journal of Clinical Epidemiology<\/a>.<\/li>
        3. Making Sense of Sensitivity: Extending Omitted Variable Bias<\/a> (Preprint) [1<\/a>]<\/li>
        4. Availability of cookies during an academic course session affects evaluation of teaching<\/a> at Medical Education Journal<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Post-doctoral position to investigate the role and regulation of transposons during the earliest stages of mammalian development<\/a> at the MRC London Institute of Medical Science.<\/li>
          2. Research Associate in Paradigms of Artificial General Intelligence and Their Associated Risk<\/a> at the University of Cambridge.<\/li>
          3. Ph.D. fellow in Theoretical Machine Learning<\/a> at the University of Copenhagen.<\/li>
          4. Lecturer\/Senior Lecturer in Data Science<\/a> at the University of Auckland.<\/li>
          5. Ph.D. Candidate \/ Research Assistant<\/a> at the ETH Zurich.<\/li>
          6. Ph.D. Scholarship in Computational Linguistics (Natural Language Processing)<\/a> at the University of Ghent.<\/li>
          7. Ph.D. in Governance of Artificial Intelligence in The Energy Transition<\/a> at the Eindhoven University of Technology.<\/li>
          8. Ph.D. in Robust Deep Learning in the Physical World<\/a> at Robert Bosch GmbH.<\/li>
          9. Ph.D. position in Machine Learning-based Design of High-Frequency Circuits and Systems<\/a> at the Ghent University.<\/li>
          10. Ph.D. position in Yield and Variability Optimization of Integrated Circuits using Machine Learning<\/a> at the Ghent University.<\/li>
          11. Ph.D. Position in Bioinformatics : Identification of gene regulation mechanisms by integrative and massive analysis of sequencing data<\/a> at Aix*Marseille Universit\u00e9.<\/li>
          12. Sr. Data Engineer<\/a> at Cobli.<\/li>
          13. Data Scientist<\/a> at Docket.<\/li>
          14. Analista Data Science<\/a> at Wiz.<\/li>
          15. Engenheiro de Dados – Especialista<\/a> at Birdie.<\/li>
          16. Cientista de dados<\/a> at ShareRH.<\/li>
          17. Data Scientist Sr<\/a> at CargoX.<\/li>
          18. Estagi\u00e1rio de Data Analytics<\/a> at Data & Insights.<\/li>
          19. Engenheiro de Dados (Produtos Financeiros)<\/a> at Stone.<\/li>
          20. Analista de Dados Pleno – Produto Consumidor<\/a> at iFood.<\/li>
          21. Data scientist – Product Discovery<\/a> at Voith Innovation Lab.<\/li>
          22. Cientista de Dados<\/a> at Mirante Tecnologia.<\/li>
          23. Programador Ci\u00eancia de Dados<\/a> at Grupo AVAL.<\/li>
          24. Analista de Machine Learning<\/a> at Omnilogic.<\/li>
          25. Analista de BI – N\u00edvel Pleno<\/a> at HrSoul Hunting Relationship.<\/li>
          26. Cientista de dados<\/a> at \u00c1rvore.<\/li>
          27. Software Developer – Data Engineering<\/a> at Cabify.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

            Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>Have you ever thought of drawing maps in R? How about measuring how unobserved confounders can mess your cause-effect analysis? Scraping data from your browser using just your browser? Come check out the most recent 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":[9,28,90,89,10],"class_list":["post-1323","post","type-post","status-publish","format-standard","hentry","category-bestlinks","tag-causality","tag-data-science","tag-pseudoscience","tag-science","tag-statistics"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #29 - 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\/07\/29\/best-links-of-the-week-29\/\" \/>\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 #29 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 3 minutesHave you ever thought of drawing maps in R? 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