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Best links of the week from 7th October to 13th October

Links

1. 7 most common data visualization mistakes at The Next Web.
2. MIT has just announced a $1 billion plan to create a new college for AI at MIT Technology Review.
3. AI in health care: Capacity, capability, and a future of active health in Asia at MIT Technology Review.
4. The Ethical Dilemmas AI Poses for Health Care at Wall Street Journal.
5. Você está desenvolvendo as habilidades que não serão automatizadas? at Harvard Business Review Brasil.
6. Igrejas evangélicas pentecostais tiveram boom de crescimento nos governos Lula e Dilma at Revista Forum.
7. Como a corrida mundial pelo processamento de dados pode ‘colonizar’ o Brasil e outros países? at BBC Brasil.
8. Edição de genoma está prestes a ser testada em humanos no Brasil at Revista Questão de Ciência.

Blog/posts

1. Essential Math for Data Science by Tirthajyoti Sarkar at Towards Data Science.
2. Understanding how the perceptron really works by Bobby Lindsey at Towards Data Science.
3. Neural Network: A Complete Beginners Guide from Scratch by Imdadul Haque Milon at Gadictos.
4. Intro to Bayesian Statistics by Pranav P at Towards Data Science.
5. Tips for a high-quality statistical analysis by Gabrielle Teixeira at PlayKids: Tech Blog.
6. A Quick Introduction to K-Nearest Neighbors Algorithm by Adi Bronshtein at Noteworthy – The Journal Blog.
7. Como treinar seu modelo de KNN by Andre Alves Ambrósio at Data Hackers.
8. Introdução teórica a Neural Network — Deep Learning — Parte 1 by Arthur Lamblet Vaz at Data Hackers.
9. Introdução teórica a Neural Network — Deep Learning — Parte 2 by Arthur Lamblet Vaz at Data Hackers.
10. Introdução teórica a Neural Network — Deep Learning — Parte 3 by Arthur Lamblet Vaz at Data Hackers.
11. Neural Network — Deep Learning — Parte 4: Introdução Teórica by Arthur Lamblet Vaz at Data Hackers.
12. AutoML: uma nova abordagem de Machine Learning by Lucas Oliveira at Data Hackers.
    

Positions available

1. Data Scientist at PicPay.
2. Data Engineer at PicPay.
3. Data Governance at PicPay.
4. Data Analytics at PicPay
5. Data Science at Sul América.
6. Engenheiro de Dados at Hospital Sírio-Libanês.
7. Cientista de Dados at Hospital Sírio-Libanês.
8. Engenheiro de Dados at Quod.
9. Cientista Dados at Bayer.
10. Game Data Analyst at VanHack.
11. Analista de Dados e BI at olist.
12. Ph.D. opportunity in Data Science at the University of Technology Sidney.
13. Post-doctoral (or Engineer) position in Scene Understanding and Movement-based Human-Robot Collaboration in Industry 4.0 at MINES Paris Tech.
14. Internship in benchmarking robotic manipulation skills learning: adaptation, contact-rich and refinement capabilities at Bosch.
15. Post-doctoral opportunity in AI for Industry – Integrating Learning and Reasoning at KU Leuven.
16. Assistant, Associate, or Full Professor (Artificial Intelligence) at Oregon State University.
17. Postdoctoral Research Fellowship: ML for Dynamic Modeling at NY University.
18. Ph.D. fellow in Computer Science at KØBENHAVNS UNIVERSITET.
19. Assistant Professor, Teaching Stream in Computer Science at the University of Toronto.
20. Associate/Assistant Professor in Machine Learning and Signal Processing at DTU COMPUTE.
21. Research Postdoctoral Fellow in natural language processing (NLP) at Children’s Hospital of Philadelphia.
22. Assistant Professor in Data Science at the University of Arkansas.
23. Assistant Professor in embedded systems, cyber physical systems, autonomous vehicles, Internet of Things, and cyber security at the University of Arkansas.
24. Full Professor (W3) for Machine Learning at Georg-August-Universität Göttingen.
25. Several Ph.D. opportunities at several different research institutions.
26. Senior DevOps Engineer at Freedom of the Press Foundation.
27. Postdoctoral Fellowship in Machine Learning and Healthcare at the University of Edinburgh.
28. Postdoctoral Fellowship in Machine Learning applied to Health at USP.