Explore >> Select a destination
|
You are here 
|
errorstatistics.com | ||
| | | | |
fharrell.com
|
|
| | | | | p-values are very often misinterpreted. p-values and null hypothesis significant testing have hurt science. This article attempts to catalog all the ways in which these happen. | |
| | | | |
blog.apaonline.org
|
|
| | | | | What is your work about? The "statistics wars" reflect disagreements on one of the deepest, oldest, philosophical questions: How do humans learn about the world despite threats of error due to incomplete and variable data? At the same time, the statistics wars are the engine behind current controversies surrounding high-profile failures of replication in the social | |
| | | | |
brenocon.com
|
|
| | | | | [AI summary] The provided text is a collection of comments and discussions from a blog post that originally criticized artificial neural networks (ANNs) in 2008. The comments reflect a range of opinions and debates about the relationship between machine learning (ML) and statistics, with some users defending ML techniques like support vector machines (SVMs), probabilistic graphical models, and deep learning, while others argue for the importance of statistical methods. There are also discussions about the need for better communication between disciplines, the limitations of ML approaches, and the importance of understanding the underlying assumptions of models. The text includes recommendations for textbooks and courses, such as 'All of Statistics' and Andre... | |
| | | | |
neptune.ai
|
|
| | | Learn about the differences between ML Engineers and Data Scientists, including collaboration and industry trends. | ||
