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Best links of the week #74

| by mribeirodantas
Reading time: 3 minutes

Best links of the week from 20th July to 17th August

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Links

  1. Match your manuscript to a potential journal (Clarivate).
  2. Match your manuscript to a potential journal (Elsevier).
  3. Match your manuscript to a potential journal (Springer).
  4. Cohen’s d at Wikiversity.
  5. Why, When and How to Adjust Your P Values? at Cell Journal.
  6. GitHub CLI.

Blog posts

  1. Entenda de uma vez por todas o que são testes unitários, para que servem e como fazê-los at Dayvson Lima‘s Medium.
  2. Unit Testing in R at Towards Data Science.
  3. Independent and Identically Distributed Data (IID) at Statistics by Jim.
  4. Ser cético não implica ser cínico! at Portal Deviante.
  5. Probabilistic Graphical Models Tutorial — Part 1 by Prasoon Goyal at Cube Dev‘s Medium.
  6. Probabilistic Graphical Models Tutorial — Part 2 by Prasoon Goyal at Cube Dev‘s Medium.
  7. Learning GitHub Actions: Creating Beautiful PR Comments by Ivan Shcheklein.
  8. Continuous Machine Learning at The Dataist Storyteller.
  9. Using Continuous Machine Learning to Run Your ML Pipeline at Vaithy Narayanan‘s Medium.
  10. Improve your workflow by managing your machine learning experiments using Sacred at Déborah Mesquita’s blog.
  11. A gentle introduction to D3: how to build a reusable bubble chart at Déborah Mesquita’s blog.
  12. The Rise of DataOps (from the ashes of Data Governance) by Ryan Gross at Towards Data Science.

Videos

  1. The Great Debate: THE STORYTELLING OF SCIENCE (Part 1/2).
  2. The Great Debate: THE STORYTELLING OF SCIENCE (Part 2/2).
  3. What Is And How To Calculate Cohen’s d? at Top Tip Bio‘s YouTube channel.
  4. What are degrees of freedom? at James Gilbert‘s YouTube channel.
  5. Data Analysis: Why do we test the null hypothesis? at James Gilbert‘s YouTube channel.
  6. Testing For Normality – Clearly Explained at Top Tip Bio‘s YouTube channel.
  7. Pearson Correlation Explained (Inc. Test Assumptions) at Top Tip Bio‘s YouTube channel.
  8. The Shape of Data: Distributions: Crash Course Statistics #7 at CrashCourse‘s YouTube channel.
  9. Regression: Crash Course Statistics #32 at CrashCourse‘s YouTube channel.
  10. The Multiple Comparisons Problem at Sprightly Pedagogue‘s YouTube channel.
  11. MLOps Tutorial #1: Intro to Continuous Integration for ML at DVCorg‘s Youtube channel.
  12. MLOps Tutorial #2: When data is too big for Git at DVCorg‘s Youtube channel.
  13. MLOps Tutorial #3: Track ML models with Git & GitHub Actions at DVCorg‘s Youtube channel.
  14. Introduction to Bayesian Networks | Implement Bayesian Networks In Python at edureka!‘s YouTube channel.
  15. Bayesian Network – Exact Inference Example (With Numbers, FULL Walk-Through) at John McVickar‘s YouTube channel.

Podcast

  1. Iniciativa monitora o distanciamento social no Brasil (#999) at Spin de Notícias.

Positions available

  1. Data Engineer at Trybe.
  2. Engenheiro de Dados at BRLink.
  3. Líder Técnico – Business Intelligence at Lett.
  4. Pessoa Engenheira SRE/DevOps Sênior at iClinic.
  5. Data Scientist Pleno (Presencial ou Remoto) at iClinic.
  6. Engenheiro de Dados at Qconcursos.com.
  7. Desenvolvedor(a) de BI at HBSIS.
  8. Engenheiro(a) de Dados at HBSIS.
  9. Desenvolvedor Full Stack at ASAAS.
  10. Analista de Software – Machine Learning at Eldorado.
  11. Research Scientist (Decision Support System) at Gotthardt Healthgroup AG.
  12. Postdoctoral Researcher in Data Analysis for Smart Manufacturing in the Circular Economy at Radboud University.
  13. Ph.D. position in machine learning at the University of Vienna.
  14. PhD. position in transfer learning for reinforcement learning at Örebro University.
  15. PhD. position in continual learning at Örebro University.
  16. Professorship in Machine Learning and Data Science at Central European University.
  17. Full Professor Position in Machine Learning and Robotics at University of Stuttgart.
  18. Postdoctoral opportunity on statistical learning at RIKEN-AIP.
  19. Postdoctoral opportunity on data-driven methods to solve multi-scale problems in physical sciences at University of Minnesota.
  20. Staff bioinformatics position at IMB.
  21. Postdoctoral opportunity in Mortality Estimation in Small Areas at Cidacs/Fiocruz.
  22. Researcher opportunity for MSc and Ph.D. researchers in Data Science at Cidacs/Fiocruz.
  23. Postdoctoral opportunity in data linking at Cidacs/Fiocruz.