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关于内容
This is an intensive, advanced summer school (in the sense used by scientists) in some of the methods of computational, data-intensive science. It covers a variety of topics from applied computer science and engineering, and statistics, and it requires a strong background in computing, statistics, and data-intensive research.
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课程大纲
The anticipated schedule of lectures (subject to changes):
Each bullet bellow corresponds to a set of materials that includes approximately 2 hours of video lectures, various links and supplementary materials, plus some on-line, hands-on exercises.
2. Best programming practices. Information retrieval.
3. Introduction to R. Markov Chain Monte Carlo.
4. Statistical resampling and inference.
5. Databases.
6. Data visualization.
7. Clustering and classification.
8. Decision trees and random forests.
9. Dimensionality reduction. Closing remarks.
3. Introduction to R. Markov Chain Monte Carlo.
4. Statistical resampling and inference.
5. Databases.
6. Data visualization.
7. Clustering and classification.
8. Decision trees and random forests.
9. Dimensionality reduction. Closing remarks.
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教师
- Amy Braverman - Jet Propulsion Laboratory (JPL)
- Thomas Fuchs - Jet Propulsion Laboratory (JPL)
- Julian Bunn - Center for Data-Driven Discovery
- Chris Mattmann - Jet Propulsion Laboratory (JPL)
- Santiago Lombeyda - Center for Data-Driven Discovery
- Ciro Donalek
- Daniel Crichton - Jet Propulsion Laboratory (JPL)
- Richard Doyle - Jet Propulsion Laboratory (JPL)
- Ashish Mahabal
- David Thompson - Jet Propulsion Laboratory (JPL)
- Scott Davidoff - Jet Propulsion Laboratory (JPL)
- S. Djorgovski - Astronomy
- Matthew Graham
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内容设计师

Caltech is a world-renowned science and engineering research and education institution, where extraordinary faculty and students seek answers to complex questions, discover new knowledge, lead innovation, and transform our future. Caltech's mission is to expand human knowledge and benefit society through research integrated with education. We investigate the most challenging, fundamental problems in science and technology in a singularly collegial, interdisciplinary atmosphere, while educating outstanding students to become creative members of society.
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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。
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