{"id":1272,"date":"2019-07-22T14:56:03","date_gmt":"2019-07-22T14:56:03","guid":{"rendered":"http:\/\/mribeirodantas.xyz\/blog\/?p=1272"},"modified":"2019-07-22T14:56:10","modified_gmt":"2019-07-22T14:56:10","slug":"best-links-of-the-week-28","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/07\/22\/best-links-of-the-week-28\/","title":{"rendered":"Best links of the week #28"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

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

Links<\/h4>\n\n\n\n
  1. What are probabilistic graphical models, and why are they useful?<\/a> at Quora<\/a>.<\/li>
  2. Google sister-company Verily is teaming with big pharma on clinical trials<\/a> at CNBC<\/a>.<\/li>
  3. Colors of noise<\/a> at John D. Cook Consulting<\/a>.<\/li>
  4. An Idiot\u2019s Guide to Support Vector Machines (SVMs)<\/a> by R. Berwick.<\/li>
  5. Introduction to Support Vector Machines<\/a> by Shivani Agarwal.<\/li>
  6. The Intuition Behind Inverse Probability Weighting<\/a> by Judea Pearl.<\/li>
  7. Resampling\/simulation methods: Monte Carlo, bootstrapping, jackknifing, cross-validation, randomization tests, and permutation tests<\/a> at Cross Validated<\/a>.<\/li>
  8. Many articles<\/a> about the data.table<\/em> package for R.<\/li>
  9. Cumulative Variable Importance for Random Forest (RF) Models<\/a> at Rich Pauloo’s GitHub<\/a>.<\/li>
  10. Flipping a journal to open access will boost its citation performance \u2013 but to what degree varies by publisher, field, and rank<\/a> at LSE Impact Blog<\/a>.<\/li>
  11. 35 Innovators Under 35: Making the software that lets powerful AI programs run more smoothly<\/a> at MIT Technology Review<\/a>.<\/li>
  12. Top 40 R Programming Blogs and Websites To Follow in 2019<\/a> at Feedspot<\/a>.<\/li>
  13. Gene enrichment statistics with Hypergeometric and Fisher’s exact tests<\/a> (part of Analyse statistique des donn\u00e9es g\u00e9nomiques (ASG) course) at Denis Puthier’s course website<\/a>.<\/li>
  14. Open-source Version Control System for Machine Learning Projects (DVC)<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. How to Set Up Data Science [in corporate environments]?<\/a> by Philipp Diesinger<\/a> at Data Science Central<\/a>.<\/li>
    2. SVMs in One Picture<\/a> by Stephanie Glen<\/a> at Data Science Central<\/a>.<\/li>
    3. Evaluation by journal name poisons science<\/a> at Stephen Floor<\/a> Medium account.<\/li>
    4. Unexpected effects on scientific publishing after CRISPR-Cas9 editing in vivo<\/a> at Stephen Floor<\/a> Medium account.<\/li>
    5. Should scientific publishing move to Github and friends?<\/a> at Ed Hagen’s Blog<\/a>.<\/li>
    6. Text Parsing and Text Analysis of a Periodic Report (with R)<\/a> at Tony ElHabr’s Blog<\/a>.<\/li>
    7. Making a Cheat Sheet with Rmarkdown<\/a> at Tony ElHabr’s Blog<\/a>.<\/li>
    8. Why do we use arrow as an assignment operator? [in R]<\/a> at Colin FAY’s Blog<\/a>.<\/li>
    9. Explain R environments like I\u2019m five<\/a> at Colin FAY’s Blog<\/a>.<\/li>
    10. A Crazy Thing Called {purrr} (Part 1<\/a>, 2<\/a>, 3<\/a>, 4<\/a>, 5<\/a> and 6<\/a>) at Colin FAY’s Blog<\/a>.<\/li>
    11. Collecting tweets with R and {rtweet}<\/a> at Colin FAY’s Blog<\/a>.<\/li>
    12. How to get Twitter data with rtweet in R<\/a> at Storybench<\/a>.<\/li>
    13. Intro to rtweet: Collecting Twitter Data<\/a> at rtweet<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Data versioning in machine learning projects<\/a> by Dmitry Petrov at PyData’s YouTube channel<\/a>.<\/li><\/ol>\n\n\n\n

        Scientific Articles<\/h4>\n\n\n\n
        1. Accelerating scientific publication in biology<\/a> at PNAS<\/a>.<\/li>
        2. Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics<\/a> at arXiv.org<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Junior Data Analyst at Criteo.<\/a><\/li>
          2. Software Engineer (AI)<\/a> at Facebook.<\/li>
          3. Permanent research position on algorithms and software for graph and tensor computing<\/a> at Huawei Technologies.<\/li>
          4. Data Engineer<\/a> at Keen Eye.<\/li>
          5. Consultant Data Scientist<\/a> at Datatorii.<\/li>
          6. Data Scientist<\/a> at Business & Decision.<\/li>
          7. Research Scientist position on Human Augmented Sensing<\/a> at Bell Labs-Research.<\/li>
          8. Research Scientist position on Augmented Dynamic Networks<\/a> at Bell Labs-Research.<\/li>
          9. Ph.D. opportunity in Data Science<\/a> at Scuola Normale Superiore<\/a>.<\/li>
          10. Ph.D. Studentship Artificial Intelligence for Future Society<\/a> at the University of Southampton. <\/li>
          11. Senior Data Scientist<\/a> at Kreditech.<\/li>
          12. Data Engineer<\/a> at Kreditech.<\/li>
          13. Research Fellow in Theoretical Neuroscience and Machine Learning<\/a> at UCL.<\/li>
          14. Postdoc Daytime and Bigmedilytics<\/a> at the Eindhoven University of Technology.<\/li>
          15. Research Associate in Next-Generation Artificial Intelligence<\/a> at the University of Sheffield.<\/li>
          16. Ph.D. Scholarship Positions in Software Engineering<\/a> at the Chalmers University of Technology.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

            Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>A lot of content on R, from mining tweets, working with purrr and understanding R environments. Besides, some discussions on open science and, of course, many opportunities for you!<\/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-1272","post","type-post","status-publish","format-standard","hentry","category-bestlinks"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #28 - 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\/22\/best-links-of-the-week-28\/\" \/>\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 #28 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 2 minutesA lot of content on R, from mining tweets, working with purrr and understanding R environments. 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