{"id":2140,"date":"2019-11-19T01:16:40","date_gmt":"2019-11-19T01:16:40","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=2140"},"modified":"2019-11-19T01:31:05","modified_gmt":"2019-11-19T01:31:05","slug":"best-links-of-the-week-45","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/11\/19\/best-links-of-the-week-45\/","title":{"rendered":"Best links of the week #45"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 11th November to 17th November<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Hyping research runs risk of devaluing science<\/a> at The Irish Times<\/a>.<\/li>
  2. The Cobra Effect: Lessons in Unintended Consequences<\/a> at The Foundation for Economic Education<\/a>.<\/li>
  3. 3 Myths About Machine Learning in Health Care<\/a> at Harvard Business Review<\/a>.<\/li>
  4. SEMINAL DEBATE : YOSHUA BENGIO | GARY MARCUS \u2014 LIVE STREAMING<\/a>.<\/li>
  5. Intel open-sources HE-Transformer, a tool that allows AI models to operate on encrypted data<\/a> at Venture Beat<\/a>.<\/li>
  6. Google’s secret cache of medical data includes names and full details of millions \u2013 whistleblower<\/a> at The Guardian<\/a>.<\/li>
  7. Professores brasileiros realizam chamada por reconhecimento facial<\/a> at Olhar Digital<\/a>.<\/li>
  8. O c\u00edrculo vicioso da conspira\u00e7\u00e3o<\/a> at Revista Quest\u00e3o de Ci\u00eancia<\/a>.<\/li>
  9. Sete em cada dez projetos de intelig\u00eancia artificial em empresas falham, diz estudo<\/a> at Estad\u00e3o<\/a>.<\/li>
  10. Falha de seguran\u00e7a da Claro exp\u00f5e dados de 8 milh\u00f5es de usu\u00e1rios<\/a> at Olhar Digital.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. What does it mean for a machine to \u201cunderstand\u201d?<\/a> at Thomas G. Dietterich<\/a>‘s Medium.<\/li>
    2. The 10 Bias and Causality Techniques of that Everyone Needs to Master<\/a> by Marcos Silva<\/a> at Towards Data Science<\/a>.<\/li>
    3. A Brief History of Statistics<\/a> by Marcos Silva<\/a> at Towards Data Science<\/a>.<\/li>
    4. Visualizing Bayes Theorem<\/a> at Oscar Bonilla’s Blog<\/a>.<\/li>
    5. How to Build a Probability Microscope<\/a> by David Steinsaltz at Nautilus<\/a>‘s Medium.<\/li>
    6. Entropy, Perplexity and Its Applications<\/a> at LEI MAO’S LOG BOOK<\/a>.<\/li>
    7. Cross Entropy, KL Divergence, and Maximum Likelihood Estimation<\/a> at LEI MAO’S LOG BOOK<\/a>.<\/li>
    8. Gnome Terminator<\/a> at LEI MAO’S LOG BOOK<\/a>.<\/li>
    9. Why Kaggle will NOT make you a great data-scientist<\/a> by Pranay Dave<\/a> at Towards Data Science<\/a>.<\/li>
    10. 3 distances that every data scientist should know<\/a> by Joos Korstanje<\/a> at Towards Data Science<\/a>.<\/li>
    11. Everything you Should Know about p-value from Scratch for Data Science<\/a> by Sharoon Saxena<\/a> at Analytics Vidhya<\/a>.<\/li>
    12. Understanding binary cross-entropy \/ log loss: a visual explanation<\/a> by Daniel Godoy<\/a> at Towards Data Science<\/a>.<\/li>
    13. In U.S. First, Scientists Safely Edit Cancer Patients\u2019 Cells With CRISPR<\/a> by Emily Mullin<\/a> at One Zero<\/a>.<\/li>
    14. 1984 in 2020: Social Engineering in China<\/a> at David Gil Gon\u00e7alves<\/a>‘ Medium.<\/li>
    15. How to Negotiate for a Better Salary When You\u2019re Switching Careers<\/a> at Dawn Graham<\/a>‘s Medium.<\/li>
    16. O que acontece quando pesquisadores inventam co-autores?<\/a> at Renato Pincelli<\/a>‘s Medium.<\/li>
    17. Data Cleaning em g\u00eaneros de filmes<\/a> at Karinne Cristina<\/a>‘s LinkedIn.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. A Short Introduction to Entropy, Cross-Entropy and KL-Divergence<\/a> at Aur\u00e9lien G\u00e9ron<\/a>‘s YouTube channel.<\/li><\/ol>\n\n\n\n

        Positions available<\/h4>\n\n\n\n
        1. Postdoctoral \/ Research Staff Member Position on Unifying Learning and Reasoning<\/a> at IBM Research (Zurich).<\/li>
        2. HPC Software and Community Developer for Deep \/ Machine Learning<\/a> at J\u00fclich Supercomputing Centre.<\/li>
        3. Two Researchers and HPC Software Engineers for Deep \/ Machine Learning<\/a> at J\u00fclich Supercomputing Centre.<\/li>
        4. Scientific Team Leader, Researcher Deep Learning \/ AI<\/a> at J\u00fclich Supercomputing Centre.<\/li>
        5. Ph.D. student position on Machine Learning<\/a> at Oulu University.<\/li>
        6. Software Algorithm Engineer in Advanced Sensing<\/a> at General Motors.<\/li>
        7. Systems Engineer (Automated Driving Advanced Development-RADAR)<\/a> at General Motors.<\/li>
        8. Two Assistant Professor positions in Computer and Information Sciences<\/a> at the University of Delaware.<\/li>
        9. An Associate or established Assistant Professor position in Computer and Information Sciences<\/a> at the University of Delaware.<\/li>
        10. Two positions in foundations of Data Science (University-wide cluster hire)<\/a> at the University of Delaware.<\/li>
        11. Ph.D. position on AI and Machine Learning<\/a> at the Centre for Applied Autonomous Sensor Systems at \u00d6rebro University.<\/li>
        12. WASP AI Tenure Track Assistant Professor in Mathematical Statistics<\/a> at Ume\u00e5 University.<\/li>
        13. Post-doctoral opportunity in data-driven methods to solve multi-scale problems in physical sciences<\/a> at the University of Minnesota.<\/li>
        14. Turing Artificial Intelligence Acceleration Fellowships<\/a>.<\/li>
        15. Turing Artificial Intelligence World-Leading Researcher Fellowships<\/a>.
          The next opportunities (30+) are reserved for readers registered in the newsletter. By having registered, you will receive updates on the posts in the blog!
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