<iframe src="https://www.googletagmanager.com/ns.html?id=GTM-KVGHS6G" height="0" width="0" style="display:none;visibility:hidden"></iframe>

Uber人工智能面试真题

职位分类
全部
数据相关
计算机科学
人工智能
产品经理
BQ
面试题
全部(4)
ML Domain(4)
全部(4)
ML Domain(4)
1.矩阵变化
2.Shift Array
3.Implement PCA and Linear Regression
4.Network Design for Real-World Problems
1. 矩阵变化
2d matrix 三种操作。rotate 90,left对角线flip,right对角线flip。最后得到什么
2. Shift Array
 | 一个array 可以往左shift K 次。问是否能得到一个sorted 从小到大 array
3. Implement PCA and Linear Regression
When implementing PCA and linear regression, is it permissible to use built-in Python functions such as np.linalg.svd for singular value decomposition? Are candidates allowed to search for specific syntax using Google during the interview? Additionally, will candidates be required to build neural networks on the spot, and if so, can they look up specific syntax? Is it possible that other ML algorithms will be tested, or will there be a focus on general LeetCode-style coding problems?
4. Network Design for Real-World Problems
For a given real-world problem, such as Road Traffic Prediction, how would you design a network to solve it?