Best links of the week from 4th March to 10th March.
Links
- What are some of your favorite, but less well-known, packages for R? [1] [2] at Statistics and Data Science sub Reddits.
- Why is it wrong to stop an A/B test before optimal sample size is reached? at Cross Validated (Stack Exchange).
- How do I calculate statistical power? at Effect Size FAQs.
- Personal website generator.
- From hard drive to over-heard drive: Boffins convert spinning rust into eavesdropping mic at The Register.
- List of Machine Learning / Deep Learning conferences in 2019 at Tryo Labs.
- We Use Less Information to Make Decisions Than We Think at Harvard Business Review.
- Apple CEO Tim Cook explains why you don’t need a college degree to be successful at Business Insider.
- Jordan Peterson’s 10-step process for stronger writing at Big Think.
- R package primer at Karl Broman‘s website.
- Researchers Can Now Cheaply Turn Atmospheric CO2 Back Into Coal at IFLScience.
- Plano de estudos em machine learning com conteúdos em português at Italo José’s GitHub.
- O Brasil em dados libertos.
- Reconhecimento facial ajuda a prender criminoso no Carnaval de Salvador at Canal Tech.
- Conhecer o próprio genoma envolve surpresas e decepções at Folha de São Paulo.
- Qual a lógica do detector de mentiras? at Revista Questão de Ciência.
- Pesquisas que parecem medicina, mas não são at Revista Questão de Ciência.
- A distribuição de pessoas com doutorado pelo Brasil at Nexo Jornal.
- Programadores tornarão o caminho mais fácil para invasores dizem pesquisadores at Mundo Hacker.
Blog/posts
- How Not To Run an A/B Test at Evan Miller’s blog.
- Hypothesis Tests in One Picture at Data Science Central Blogs.
Scientific Articles
- Classifying spatial patterns of brain activity with machine learning methods: application to lie detection at NeuroImage.
Videos
- The Unspoken Reality Behind the Harvard Gates by Alex Chang on TEDxSHSID at Ivy-Way Academy YouTube Channel.
- Brasileiro cria robôs que fazem vídeos e publicam no YouTube sozinhos at InfoMoney.