{"id":1473,"date":"2019-08-26T12:41:58","date_gmt":"2019-08-26T12:41:58","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=1473"},"modified":"2019-08-26T12:42:05","modified_gmt":"2019-08-26T12:42:05","slug":"best-links-of-the-week-33","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/08\/26\/best-links-of-the-week-33\/","title":{"rendered":"Best links of the week #33"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 19th August to 25th August<\/h3>\n\n\n\n
\"\"
The daily life of researchers requesting access to data.<\/figcaption><\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Microsoft AcademIA<\/a>.<\/li>
  2. Alphabet’s AI might be able to predict kidney disease<\/a>.<\/li>
  3. Awesome Visualization Techniques for every dataset (Python)<\/a> at Vipul Patel<\/a>‘s LinkedIn.<\/li>
  4. Data Visualization in R<\/a> at Vipul Patel<\/a>‘s LinkedIn.<\/li>
  5. The Ultimate Guide to 12 Dimension Reduction Techniques<\/a> at Vipul Patel<\/a>‘s LinkedIn.<\/li>
  6. Quando a Lua brilha mais do que o Sol<\/a> at Inova\u00e7\u00e3o Tecnol\u00f3gica<\/a>.<\/li>
  7. Embraer apresenta prot\u00f3tipo de avi\u00e3o com propuls\u00e3o el\u00e9trica<\/a> at Inova\u00e7\u00e3o Tecnol\u00f3gica<\/a>.<\/li>
  8. Finep anuncia plataforma de conectividade e neg\u00f3cios<\/a> at Inova\u00e7\u00e3o Tecnol\u00f3gica<\/a>.<\/li>
  9. Chip para internet das coisas agora tem tudo que precisa<\/a> at Inova\u00e7\u00e3o Tecnol\u00f3gica<\/a>.<\/li>
  10. 10 palavras que significam coisas diferentes para os cientistas<\/a> at Inova\u00e7\u00e3o Tecnol\u00f3gica<\/a>.<\/li>
  11. Tijolos vivos prometem casas que se regeneraem na paisagem<\/a> at Inova\u00e7\u00e3o Tecnol\u00f3gica<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. What is Hidden in the Hidden Markov Model?<\/a> by Vimarsh Karbhari<\/a>
      at       Acing AI<\/a>.<\/li>
    2. What is ROC?<\/a> by Vimarsh Karbhari<\/a> at Acing AI<\/a>.<\/li>
    3. What is AUC?<\/a> by Vimarsh Karbhari<\/a> at Acing AI<\/a>.<\/li>
    4. How to evaluate ML models using confusion matrix?<\/a> by Vimarsh Karbhari<\/a> at Acing AI<\/a>.<\/li>
    5. Several posts on Data Science job interviews at famous companies such as JP Morgan<\/a>, Quora<\/a>, Oracle<\/a>, Twitch<\/a>, Spotify<\/a>, Airbnb<\/a> and so many others at Acing AI<\/a>.<\/li>
    6. How to evaluate regression models?<\/a> by Vimarsh Karbhari<\/a> at Acing AI<\/a>.<\/li>
    7. MAE and RMSE \u2014 Which Metric is Better?<\/a> by JJ<\/a> at Human in a Machine World<\/a>.<\/li>
    8. What is better- a Type I or a Type II error?<\/a> by Vimarsh Karbhari<\/a> at Acing AI<\/a>.<\/li>
    9. What is the simplest way to prevent Overfitting?<\/a> by Vimarsh Karbhari<\/a> at Acing AI<\/a>.<\/li>
    10. Interview Guide to Probability Distributions by Vimarsh Karbhari<\/a> at Acing AI<\/a>.<\/li>
    11. Can You Solve This Facebook Interview Question? Facebook Raining In Seattle Probability<\/a> at Mind Your Own Decisions<\/a>. <\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Solving Facebook’s Tricky Raining In Seattle Interview Question<\/a> at MindYourDecisions<\/a>‘ YouTube channel.<\/li><\/ol>\n\n\n\n

        Positions available<\/h4>\n\n\n\n
        1. Post-doctoral opportunities<\/a> at Technische Universit\u00e4t Berlin.<\/li>
        2. Associate Professorships in Systems Biology and Cancer Biology<\/a> at the University of Pavia.<\/li>
        3. Research Fellow: Single Cell Analysis of Decision-making in Development<\/a> at the University College London.<\/li>
        4. Data Engineer<\/a> at olist.<\/li>
        5. Engenharia de Dados<\/a> at BTG Pactual.<\/li>
        6. Engenheiro de Dados<\/a> at Hariken.<\/li>
        7. Desenvolvedor Backend<\/a> at Hariken.<\/li>
        8. Data Engineer<\/a> at marche.<\/li>
        9. Especialista em BI<\/a> at Youse.<\/li>
        10. Data Science Engineer<\/a> at Loadsmart.<\/li>
        11. Estagi\u00e1rio em Intelig\u00eancia de Mercado (Business Intelligence)<\/a> at Eduqo.<\/li>
        12. Cientista de Dados (Campinas)<\/a> at Programmer’s Beyond It.<\/li>
        13. Analista de Dados Jr.<\/a> at tembici.<\/li>
        14. Est\u00e1gio Data Analytics<\/a> at tembici.<\/li>
        15. Research Associate in Reinforcement Learning<\/a> at the University of Oxford.<\/li>
        16. Postdoctoral Research Fellow in Machine Learning for Mental Health Care Technology<\/a> at the University of Oslo.<\/li>
        17. Ph.D. fellowship in artificial intelligence<\/a> at the University of Ghent.<\/li>
        18. Postdoctoral Position (two years) in Optimization for Statistical Learning<\/a> at the University of Umea.<\/li>
        19. Postdoctoral Position (two years) in Statistical Learning with Sparsity<\/a> at the University of Umea.<\/li>
        20. Ph.D. position in Artificial Intelligence<\/a> at Lund University.<\/li>
        21. Several jobs and Ph.D. opportunities<\/a> in Artificial Intelligence at the Human-Centered AI Lab (Holzinger Group)<\/a>.<\/li>
        22. Ph.D. Fellowship in Numerical Analysis<\/a> at Lund University.<\/li>
        23. Ph.D. Fellowship in Spiking neural architectures for speech prosody<\/a> at Indiap.<\/li>
        24. Postdoctoral Position in Stochastic Traffic Networks<\/a> at Chalmers University of Technology.<\/li>
        25. Ph.D. Research Fellow in ICT – Smart Sensing and Communications for UAVs<\/a> at Universitetet i Agder.<\/li>
        26. Postdoctoral Research Assistant in Applied Machine Learning<\/a> at the University of Oxford.<\/li>
        27. Ph.D. fellow in Theoretical Machine Learning<\/a> at the University of Copenhagen.<\/li>
        28. Postdoctoral Research Fellow in Machine Learning for Mental Health Care Technology<\/a> at the Universitetet i Oslo.<\/li>
        29. One Ph.D. and one Postdoctoral\/Researcher Fellowship in Reducing Vulnerability Regarding (Healthcare) Robotics (3 and 4 years, resp.)\u00a0in Department of Informatics<\/a> at the University of Oslo, Norway.<\/li>
        30. Postdoctoral Scholar – Research Associate position<\/a> at USC.<\/li>
        31. Senior Quantitative Researcher (Stats, Machine Learning, Python\/R)<\/a> at Yelp.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

          Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>Have you ever thought of how to evaluate your ML model? Regression models? MAE, RMSE, ROC, AUC, overfitting? new words to you? Come with me \ud83d\ude09<\/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-1473","post","type-post","status-publish","format-standard","hentry","category-bestlinks"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #33 - 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\/08\/26\/best-links-of-the-week-33\/\" \/>\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 #33 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 3 minutesHave you ever thought of how to evaluate your ML model? 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