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每日一练 | Data Scientist & Business Analyst & Leetcode 面试题 363

大数据应用  · 公众号  · 大数据  · 2018-05-25 09:06

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MAY

24

Data Application Lab 自2017年6月15日起,每天和你分享讨论一道数据科学(DS)和商业分析(BA) 领域常见的面试问题。

自2017年10月4日起,每天再为大家分享一道Leetcode 算法题。


希望积极寻求相关领域工作的你每天关注我们的问题并且与我们一起思考,我们将会在第二天给出答案。

Day

263

DS Interview Question

Describe the basic layer structure of ANN and what each part represent for.

BA Interview Question

SQL Interview questions practices: Imagine we have two tables names ‘employees’ and ‘projects’, write a query to find out employee name and project name who has assigned more than one project.

LeetCode Question

Maximum Depth of Binary Tree


Description:

Given a binary tree, find its maximum depth.

The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.


Input: root of a tree

Output: max depth


Day

262

答案揭晓

DS Interview Question & Answer

Describe what is the Artificial Neural Network?

Answer:


An Artificial Neural Network (ANN) is a computational model. It is based on the structure and functions of biological neural networks. It works like the way human brain processes information. It includes a large number of connected processing units that work together to process information, which can generate meaningful results from it.

BA Interview Question & Answer

R programming: How do you evaluate the logistic regression? Name the principle of the likelihood ratio test.

Answers:


A logistic regression is said to provide a better fit to the data if it demonstrates an improvement over a model with fewer predictors. This is performed using the likelihood ratio test, which compares the likelihood of the data under the full model against the likelihood of the data under a model with fewer predictors. Removing predictor variables from a model will almost always make the model fit less well (i.e. a model will have a lower log likelihood), but it is necessary to test whether the observed difference in model fit is statistically significant.







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