专栏名称: 机器学习研究会

机器学习研究会是北京大学大数据与机器学习创新中心旗下的学生组织，旨在构建一个机器学习从事者交流的平台。除了及时分享领域资讯外，协会还会举办各种业界巨头/学术神牛讲座、学术大牛沙龙分享会、real data 创新竞赛等活动。

【学习】数据科学家降维技术测试40题

机器学习研究会 · 公众号 · AI · 2017-03-20 18:54

正文

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摘要

转自：爱可可-爱生活

Introduction

Have you come across a dataset with hundreds of columns and wondered how to build a predictive model on it? Or have come across a situation where a lot of variables might be correlated? It is difficult to escape these situations while working on real life problems.

Thankfully, dimensionality reduction techniques come to our rescue here. Dimensionality Reduction is an important technique in data science. It is a must have skill set for any data scientist. To test your knowledge in dimensionality reduction techniques, we are conducted this skill test. These questions include topics like Principal Component Analysis (PCA), t-SNE and LDA.

Check out more challenging competitions coming up here

A total of 582 people participated in this skill test. The questions varied from theoretical to practical.

If you missed taking the test, here is your opportunity for you to find out how many questions you could have answered correctly.

Read on!

Overall Scores

Below is the distribution of scores, this will help you evaluate your performance:

You can access your performance here . More than 180 people participated in the skill test and the highest score was 34. Here are a few statistics about the distribution.

Overall distribution