2016(10-12月) 分析|数据科学类 硕士 全职@ibm - 校园招聘会 - 在线笔试 |Otherfresh grad应届毕业生
IBM DATA SCIENTIST OA1 |
1.1 How did you become interested in a position with our IBM team.. more info on 1point3acres.com
1.2 How do your areas of studies and experience make you a great candidate for our team.
2.what software tools do you prefer for Data Science and analytics and why do you like them?
3.tell us about any question you have in data mapping or integration of data from multiple sources into a singular database.
4.difference between supervised and unsupervised machine learning?give example
5.major steps in predictive analytics/machine learning?
6.what does 'p Value' signify and how is it used in hypothesis testing?
7.techniques to perform missing value inputations.
8.'confidence intervals' and how to interpret?
10.how to evaluate the performance of a regression prediction model as opposed to a classification prediction model?
11.explain : sensitivity, specificity, precision and recall.. 1point3acres.com/bbs
12.how to overcome the proplem of over fitting?
13. explain a project where you've worked with a real data set.
-how large was that data set?
-what issues did you encounter with the data?. 1point3acres.com/bbs
-what were your findings?
最后祝大家找到理想的工作！ good luck！