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Best links of the week from 15th June to 5th July

Links

1. Os 11 melhores canais de Data Science no Telegram at Insight.
2. Prove Your Grit in our Competitions at bitgrit.
3. Confounding in epidemiological studies at Health Knowledge.
4. Cochran–Mantel–Haenszel statistics at Wikipedia.
5. University and college students, learn for free with Coursera!
6. Determine the most significant overlap between subsets of two or three sorted lists with DynaVenn.
7. Scholarly Community Encyclopedia.
8. Category mistake at Wikipedia.
9. Black swan theory at Wikipedia.
10. Hindsight bias at Wikipedia.
11. Cochran–Mantel–Haenszel statistics at Wikipedia.
12. Pareidolia e Apofenia at Wikipedia.
13. Levenshtein distance at Wikipedia.
14. A periodic table of visualization methods at Visual Literacy.
15. Why It’s Hard to Evaluate State Policies in the Pandemic at Penn LDI.

Blog posts

1. A Gentle Introduction to Concept Drift in Machine Learning at Machine Learning Mastery.
2. What is the difference between Bagging and Boosting? at QuantDare.
3. A PRIMER TO ENSEMBLE LEARNING – BAGGING AND BOOSTING at Analytics India Mag
4. O modelo de #SquadGoals do Spotify falhou. at Flavio Clesio’s Blog.
5. That one weird third variable problem nobody ever mentions: Conditioning on a collider at the 100 CI.
6. Why Statistics Don’t Capture The Full Extent Of The Systemic Bias In Policing at Five Thirty Eight.
7. Why Is the Average Human Body Temperature Decreasing? at Science and Philosophy’s Medium.
8. CITAÇÃO DE CITAÇÃO SEGUNDO AS REGRAS ABNT: ACABE COM SUAS DÚVIDAS! at Blog PPEC.
9. FAPESP cria repositório de informações clínicas para subsidiar pesquisas sobre COVID-19 at Agência FAPESP.

Videos

1. The Super Mario Effect – Tricking Your Brain into Learning More by Mark Rober at TEDx Talks’ YouTube channel.
2. Por que a concorrência abre suas lojas perto das outras? at TED-Ed’s YouTube channel.

Podcast

1. Causalidade na saúde at Dados e Saúde.

Positions available

1. Cientista de Dados at T10.
2. Arquitet@ de Dados at T10.
3. Engenheir@ de Dados at T10.
4. Desenvolvedor Machine Learning at Eldorado.
5. Cientista de Dados at Eldorado.
6. Analista de Software – Machine Learning at Eldorado.
7. Desenvolvedor(a) Fullstack at Mopi Brasil.
8. Analista De BI (Python) at Campusinc.
9. Desenvolvedor Backend na Grão Inteligência at GRÃO Inteligência.
10. Data Hacker at Provi.
11. Data Specialist at OLX.
12. Estágio em Inteligência (BI) at Petlove.
13. Analista de Dados at Petlove.
14. Engenheiro de Dados at Petlove.
15. Cientista de Dados at Petlove.
16. Desenvolveor backend at Bwtech.
17. Cientista de Dados at vetsmart.
18. 2 positions in molecular cancer research at the University of Copenhagen.
19. Ph.D. position in Fair and beneficial AI at the university of Oslo.
20. Postdoctoral position in Fair and beneficial AI at the university of Oslo.
21. Fully Funded PhD positions in Privacy-Preserving & Robust Machine Learning at the University of Luebeck.
22. Scientist position (NLP for Alexa), Boston / Remote OK (US) at Amazon.
23. Postdoctoral position in machine learning at Halmstad University.
24. Research Associate (Fixed term) in Bioinformatics at Michigan State University.
25. Ph.D. opportunity in Machine Learning models or indoor person monitoring using radar signals at KU Leuven.
26. Ph.D. opportunity in Machine Learning models for human cardio-respiratory event monitoring at KU Leuven.
27. Ph.D. opportunity in Hybrid AI for machine listening applications at KU Leuven.
28. Associate Professor / Senior Lecturer in Data Science / Machine Learning at the University of the Witwatersrand.
29. Professor / Associate Professor in Data Science / Machine Learning at the University of the Witwatersrand.
30. Ph.D. opportunity in Stochastic seismic structural interpretation of geological faults at Université de Lorraine.
31. Pessoa Engenheira de Dados (Sênior) – Remoto at Magnetis.
32. Data Scientist at Werkspot.
33. Data Scientist at Scicrop.
34. Data Science Intern at Scicrop.
35. Data Engineer at Mobiauto.