Explore >> Select a destination
|
You are here 
|
chris-said.io | ||
| | | | |
sebastianraschka.com
|
|
| | | | | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs). | |
| | | | |
www.jeremykun.com
|
|
| | | | | Machine learning is broadly split into two camps, statistical learning and non-statistical learning. The latter we've started to get a good picture of on this blog; we approached Perceptrons, decision trees, and neural networks from a non-statistical perspective. And generally "statistical" learning is just that, a perspective. Data is phrased in terms of independent and dependent variables, and statistical techniques are leveraged against the data. In this post we'll focus on the simplest example of thi... | |
| | | | |
gregorygundersen.com
|
|
| | | | | ||
| | | | |
minireference.com
|
|
| | | [AI summary] The author discusses the need for a revised introductory statistics curriculum, emphasizing the importance of probability distributions, estimators, and sampling methods. They highlight the inclusion of modern statistical techniques like permutation tests and Bayesian statistics, while also addressing ethical considerations and practical applications. The author also recommends various learning resources for readers interested in statistics. | ||
