关键信息
关于内容
This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well.
课程大纲
Week 1:
MapReduce
Link Analysis -- PageRank
Week 2:
Locality-Sensitive Hashing -- Basics + Applications
Distance Measures
Nearest Neighbors
Frequent Itemsets
Week 3:
Data Stream Mining
Analysis of Large Graphs
Week 4:
Recommender Systems
Dimensionality Reduction
Week 5:
Clustering
Computational Advertising
Week 6:
Support-Vector Machines
Decision Trees
MapReduce Algorithms
Week 7:
More About Link Analysis -- Topic-specific PageRank, Link Spam.
More About Locality-Sensitive Hashing
教师
- Anand Rajaraman
- Jure Leskovec - Computer Science
- Jeff Ullman
内容设计师
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
