{"id":736,"date":"2019-05-06T12:47:21","date_gmt":"2019-05-06T12:47:21","guid":{"rendered":"http:\/\/mribeirodantas.xyz\/blog\/?p=736"},"modified":"2019-05-10T11:19:06","modified_gmt":"2019-05-10T11:19:06","slug":"best-links-of-the-week-17","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/05\/06\/best-links-of-the-week-17\/","title":{"rendered":"Best links of the week #17"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 29nd April to 5th May<\/h3>\n\n\n\n
\"\"
Source: Dilbert<\/a>.<\/figcaption><\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. This Will Be The Biggest Disruption In Higher Education<\/a> at Forbes<\/a>.<\/li>
  2. Dead Facebook users could outnumber living ones within 50 years<\/a> at MIT Technology Review<\/a>.<\/li>
  3. To Build Truly Intelligent Machines, Teach Them Cause and Effect<\/a> at QuantaMagazine<\/a>.<\/li>
  4. The Worlds largest listings of AI Conferences, Events and Meetups with the biggest collection of conference discount codes<\/a>.<\/li>
  5. 2nd International Summer School on Artificial Intelligence: From Deep Learning to Data Analytics<\/a>.<\/li>
  6. Microsoft launches a drag-and-drop machine learning tool<\/a> at TechCrunch<\/a>.<\/li>
  7. Actively curated list of awesome BI tools<\/a> at Jan Kyri’s GitHub<\/a>.<\/li>
  8. How much of human height is genetic and how much is due to nutrition<\/a> at Scientific American<\/a>.<\/li>
  9. Announcing JupyterHub 1.0<\/a>!<\/li>
  10. I hate it that sometimes Jupyter notebooks don’t render properly (or take a long time to render) at GitHub. If you’ve faced similar situations, your solution is here<\/a>!<\/li>
  11. Cryptography That Can\u2019t Be Hacked<\/a> at QuantaMagazine<\/a>.<\/li>
  12. Hacker-Proof Code Confirmed<\/a> at QuantaMagazine<\/a>.<\/li>
  13. “PUT DOWN THE DEEP LEARNING: When not to use neural networks (and what to do instead)”<\/a>, a talk by Rachael Tatman<\/a>. Code here<\/a>.<\/li>
  14. Socially-Stratified Validation for ML Fairness, another talk<\/a> by Rachael Tatman<\/a>.<\/li>
  15. Google Books Ngram Viewer<\/a> is a tool that displays a graph showing how phrases specified by you have occurred in a corpus of books through time.<\/li>
  16. Why Generation Y Yuppies Are Unhappy<\/a> at Wait But Why<\/a>.<\/li>
  17. Looking for data<\/a>? You mean data<\/a>? DATA<\/a>? Yes, data<\/a>, data<\/a> and data<\/a>!!<\/li>
  18. Becoming a Data Scientist \u2013 Curriculum via Metromap<\/a> at nirvacana<\/a>.<\/li>
  19. Demystifying Artificial Intelligence. What is Artificial Intelligence & explaining it from different dimensions<\/a> at nirvacana<\/a>.<\/li>
  20. The weakening relationship between the Impact Factor and papers\u2019 citations in the digital age<\/a> at arXiv.org<\/a>.<\/li>
  21. Visualiza\u00e7\u00e3o GeoEspacial com R<\/a> at Gabriel Sartori’s GitHub.<\/a><\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Don\u2019t Put Too Much Meaning Into Control Variables<\/a> at Paul H\u00fcnermund Blog<\/a>.<\/li>
    2. No Free Lunch in Causal Inference<\/a> at Paul H\u00fcnermund Blog<\/a>.<\/li>
    3. Graphs and Occam\u2019s Razor<\/a> at Paul H\u00fcnermund Blog<\/a>.<\/li>
    4. Stocking your shop with Data Science<\/a> at Riot Games Techblog<\/a>.<\/li>
    5. Brief History of Neural Networks<\/a> at Kate Strachnyi<\/a> Medium.<\/li>
    6. Datasets for data cleaning practice<\/a> at Making Noise & Hearing Things<\/a>.<\/li>
    7. Parity in Utility: One way to think about fairness in machine learning tools<\/a> at Making Noise & Hearing Things<\/a>.<\/li>
    8. Tidying the Australian Same Sex Marriage Postal Survey Data with R<\/a> at Miles McBain<\/a> Medium.<\/li>
    9. Dealing with Rejection<\/a> at Niklas Elmqvist’s Blog<\/a>.<\/li>
    10. Regression Model Validation: Cross-Validation Essentials in R<\/a> by kassambara<\/a> at STHDA<\/a>.<\/li>
    11. O dia que a Receita nos mandou pagar R$ 500 mil para ter dados p\u00fablicos<\/a> at Pedro Vila Nova Medium<\/a>.<\/li><\/ol>\n\n\n\n

      Positions available<\/h4>\n\n\n\n
      1. Trainee – Big Data & BI<\/a> at Hitss do Brasil Servi\u00e7os Tecnol\u00f3gicos LTDA.<\/li>
      2. Postdoctoral position in Machine Learning in Computational Biology<\/a> at Broad Institute of Harvard\/MIT.<\/li>
      3. Postdoctoral position in machine learning<\/a> at the University of Bergen.<\/li>
      4. Especialista em BI<\/a> at TRACK&FIELD.<\/li>
      5. Pessoa engenheira de Dados (Pleno)<\/a> at Magnetis.<\/li>
      6. Doctoral\/Postdoctoral Position for Google Focused Research Award in Conversational AI<\/a> at the Statistical Natural Language Processing Lab at the Department of Computational Linguistics at Heidelberg University.<\/li>
      7. Analista de Dados<\/a> at Yandeh\/Alpe.<\/li>
      8. 3 year PhD position in Deep Learning for Text Analytics<\/a> at University of Essex.<\/li>
      9. 5 PhDs for INTO-PROT: Improving proton therapy in brain, head and neck cancer<\/a> at several different universities in the Netherlands.<\/li>
      10. Data Scientist<\/a> at Braskem.<\/li>
      11. Two-year funded postdoc position in machine learning (Bayesian deep learnig) in Toulouse<\/a>.<\/li>
      12. Two-year funded postdoc position in machine learning (Multimodal data processing for multimedia artistic creation) in Toulouse<\/a>.<\/li>
      13. Two-year funded postdoc position in machine learning\/signal in Toulouse<\/a>.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

        Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>The post of this week is very versatile. There are links from causality to disruption in higher education. Several new public databases for analysis and a great list for exercise on data cleaning!<\/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":[9,53,55,52,15,54],"class_list":["post-736","post","type-post","status-publish","format-standard","hentry","category-bestlinks","tag-causality","tag-cryptography","tag-data-cleaning","tag-data-visualization","tag-machinelearning","tag-neural-networks"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #17 - 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\/06\/best-links-of-the-week-17\/\" \/>\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 #17 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 2 minutesThe post of this week is very versatile. 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