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Best links of the week from 29th July to 4th August

Links

1. Some interesting shiny apps at Tychobra.
2. Learn git branching!
3. Learn vim.
4. rThreeJS R Package.
5. Difference Between Covariance and Correlation at Key Differences.
6. Variance vs. Covariance: What’s the Difference? at Investopedia.
7. Difference Between Correlation and Regression at Key Differences.
8. Difference Between Parametric and Nonparametric Test at Key Differences.
9. Preferential attachment at Wikipedia.
10. Voice automated shiny app (example here) at Yihui Xie’s GitHub.
11. Webcam (face) automated shiny app (example here) at Yihui Xie’s GitHub.
12. Xaringan (presentation on xaringan here) at Yihui Xie’s GitHub.
13. Learn R fast with fasteR!
14. We’re told that too much screen time hurts our kids. Where’s the evidence? at The Guardian.
15. pagedown: Creating beautiful PDFs with R Markdown and CSS at rstudio::conf 2019 website.
16. Por que cientistas precisam ser também bons comunicadores at NEXO Jornal.
17. Portugal cria visto especial para atrair profissionais de TI brasileiros at Folha de São Paulo.

Blog/posts

1. Excel Report Generation with Shiny at Tychobra.
2. PowerPoint Report Generation with Shiny at Tychobra.
3. Simulating Insurance Claims at Tychobra.
4. Machine Learning for Insurance Claims at Tychobra.
5. How to build your own Neural Network from scratch in R at Tychobra.
6. cheatR: an R package for catching cheaters at Mattan S. Ben-Shachar’s Blog.
7. Impressive package for 3D and 4D graph – R software and data visualization at STHDA.
8. R for Big Data in One Picture by Vincent Granville at Data Science Central.
9. Best solution to a problem: data science versus statistical paradigm by Vincent Granville at Data Science Central.
10. Interactive visualization of earthquake using R and Highcharter at Diwash Shrestha Blog.
11. The story of Big Data, Data Science & Data Mining by Arya Nalinkumar at Data Science Central.

Videos

1. Several episodes on the explanation of concepts in 5 different levels at WIRED.

Scientific Articles

1. Social media’s enduring effect on adolescent life satisfaction at PNAS.

Positions available

1. Deep Learning for Computational Imaging Postdoc at Los Alamos National Laboratory.
2. 2 fully-funded Ph.D. positions in AI, Machine Learning and Robotics for Mental Well Being at Örebro University.
3. Machine Learning Research Scientist at arm.
4. Open-rank faculty position in Data Science at FGV EMAP.
5. Open-rank faculty position in Statistics at FGV EMAP.
6. Postdoc position in Machine Learning at the German Aerospace Center (DLR).
7. Ph.D. position in Reinforcement Learning at Copenhagen University.
8. Ph.D. position in Information Theory at University of Glasgow.
9. Postdoctoral Associate in Data Science at New York University.
10. Research Engineer or Postdoc F/M on voice privacy at INRIA Center at Nancy.
11. Data Engineer at Bcredi.
12. Desenvolvedor Python (Time de Dados) at N2B.
13. Senior Machine Learning Scientist at CASAFARI.
14. Responsable Data Science et AI at BNP Paribas.
15. Stage Data Analyst at Le Slip Français.
16. Data Science Consultant at Management Solutions.
17. Head of Data Science at Osella Technology.
18. Data Engineer at happn.
19. Lead Data Scientist at PerfectStay.
20. Data Scientist at Sanofi.
21. Consultant Data Analytics/BI at Gfi Informatique.
22. Consultant Data Offerer – Energie & Utilities at Sopra Steria Consulting.
23. Post-doctoral position in the Big Data-Scientist Training Enhancement Program at VA BOSTON HEALTHCARE SYSTEM.
24. Ph.D. position in Computer Science at Örebro University.
25. Analista de Big Data at Mirante Tecnologia.
26. Engenheiro de Dados at Leega Consultoria e Informática.
27. Engenheiro de Dados Jr./Pl. at Data Sprints.
28. Machine Learning Engineer at Social Miner.
29. Analista de BI/Tableau at Cunha & Petreche.
30. Analista de BI/ETL at Cunha & Petreche.