【latex版】水贴

爱因斯坦爷爷太能灌水了吧

fisher1234 发表于 2015-7-18 20:39
爱因斯坦爷爷太能灌水了吧

欢迎在这里灌水啊，有奖励的

$$\Sigma= \begin{bmatrix}
     \sigma^2_1 & \sigma_{12}& \cdots & \sigma_{1q} \\
     \sigma_{21} & \sigma^2_{2}& \cdots & \sigma_{2q}  \\
     \sigma^2_1 & \sigma_{12}& \cdots & \sigma_{3q}
\end{bmatrix}$$

$$ Cov(X_i,X_j)=E(X_i-\mu_i)(X_j-\mu_j)$$

$$S=\frac{1}{n-1}\sum_{i=1}^n(X_i-\bar{X})(X_i-\bar{X})^\prime$$

$$\bar{X}=\frac{1}{n}\sum_{i=1}^nX_i$$

Kaggle has a competition to predict who will die on the famous Titanic ‘Machine Learning from Disaster”. It is placed as knowledge competition. Just up there to learn. I am late to the party, it has been been for 1 1/2 year, to end by end 2015. It is a small data set, hence interesting to learn from. It is also a competition with a number of entries which have perfect predictions.

Kaggle has a competition to predict who will die on the famous Titanic ‘Machine Learning from Disaster”. It is placed as knowledge competition. Just up there to learn. I am late to the party, it has been been for 1 1/2 year, to end by end 2015. It is a small data set, hence interesting to learn from. It is also a competition with a number of entries which have perfect predictions.

I gave a tutorial at useR on testing R code, which turned out to be a great way of getting feedback on my code! Based on the suggestions by attendees, I’ve made a big update to the package, which is now on CRAN. Full details of the new features can be access in the ?changes help page within the package.

I gave a tutorial at useR on testing R code, which turned out to be a great way of getting feedback on my code! Based on the suggestions by attendees, I’ve made a big update to the package, which is now on CRAN. Full details of the new features can be access in the ?changes help page within the package.