|
You are here |
tiao.io | ||
| | | | |
gregorygundersen.com
|
|
| | | | | ||
| | | | |
statsandr.com
|
|
| | | | | Learn when and how to use a (univariable and multivariable) binary logistic regression in R. Learn also how to interpret, visualize and report results | |
| | | | |
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... | |
| | | | |
ischoolonline.berkeley.edu
|
|
| | | Whether you know it or not, you've probably been taking advantage of the benefits of machine learning for years. Most of us would find it hard to go a full day without using at least one app or web service driven by machine learning. But what is machine learning? | ||