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Introduction to Data Science, Columbia University | Blog to document and reflect on Columbia Data Science Class

Blog to document and reflect on Columbia Data Science Class

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Introduction to Data Science, Columbia University | Blog to document and reflect on Columbia Data Science Class | columbiadatascience.wordpress.com Reviews
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Blog to document and reflect on Columbia Data Science Class
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3 about the course
4 about the team
5 thought experiments
6 manifesto
7 doing data science
8 talks and press
9 data science ethics
10 data journalism redux
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Introduction to Data Science, Columbia University | Blog to document and reflect on Columbia Data Science Class | columbiadatascience.wordpress.com Reviews

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Blog to document and reflect on Columbia Data Science Class

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Doing Data Science | Introduction to Data Science, Columbia University

https://columbiadatascience.wordpress.com/doing-data-science

Introduction to Data Science, Columbia University. About the Course 2013. About the Course 2012. About the Team 2012. Blog to document and reflect on Columbia Data Science Class. A product of the 2012 course is the book Doing Data Science. By Rachel Schutt and Cathy O’Neil. The book provides an overview of the 2012 course, and features guest data scientists who lectured in the course last year. Chapters focus on topics such as:. Machine learning and data mining algorithms. Statistical models and methods.

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Instructors | Introduction to Data Science, Columbia University

https://columbiadatascience.wordpress.com/rachel-schutt

Introduction to Data Science, Columbia University. About the Course 2013. About the Course 2012. About the Team 2012. Blog to document and reflect on Columbia Data Science Class. Dr Rachel Schutt is the Senior Vice President of Data Science at News Corp, the publishing, news and information company, which is the publisher of The Wall Street Journal, New York Post, Times of London, The Australian; Harper Collins and Amplify. Leave a Reply Cancel reply. Enter your comment here. Address never made public).

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Rachel Schutt | Introduction to Data Science, Columbia University

https://columbiadatascience.wordpress.com/author/columbiadatascience

Introduction to Data Science, Columbia University. About the Course 2013. About the Course 2012. About the Team 2012. Blog to document and reflect on Columbia Data Science Class. Author Archives: Rachel Schutt. Doing Data Science and Ada Lovelace Day. October 15, 2013. Middot; by Rachel Schutt. Middot; in Course Topics. Middot; 1 Comment. My book (with Cathy O’Neil), Doing Data Science, is now available on ebook and the print version will be available next week! September 18, 2013. Middot; Leave a comment.

4

Data Journalism Redux | Introduction to Data Science, Columbia University

https://columbiadatascience.wordpress.com/2013/10/27/data-journalism-redux

Introduction to Data Science, Columbia University. About the Course 2013. About the Course 2012. About the Team 2012. Blog to document and reflect on Columbia Data Science Class. October 27, 2013. Middot; by kayur. Middot; in Course Topics. Middot; 60 Comments. Last week Steve Lohr. For more about data journalism you should check out the Guardian’s data store. Data journalism is not new, just easier…. The first piece of data journalism by the Guardian. The Guardian provided a table breaking down schools ...

5

Doing Data Science & Ada Lovelace Day | Introduction to Data Science, Columbia University

https://columbiadatascience.wordpress.com/2013/10/15/doing-data-science-ada-lovelace-day

Introduction to Data Science, Columbia University. About the Course 2013. About the Course 2012. About the Team 2012. Blog to document and reflect on Columbia Data Science Class. Doing Data Science and Ada Lovelace Day. October 15, 2013. Middot; by Rachel Schutt. Middot; in Course Topics. Middot; 1 Comment. My book (with Cathy O’Neil), Doing Data Science, is now available on ebook and the print version will be available next week! The book is based on last year’s Introduction to Data Science class. The f...

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GitHub - chmullig/datascience-aes: My code for the Columbia Data Science final project Kaggle competition. Automated essay grading system.

https://github.com/chmullig/datascience-aes

My code for the Columbia Data Science final project Kaggle competition. Automated essay grading system. Use Git or checkout with SVN using the web URL. Cannot retrieve the latest commit at this time. Failed to load latest commit information. Essay Set 1- ReadMeFirst.docx. Essay Set 2- ReadMeFirst.docx. Essay Set 3- ReadMeFirst.docx. Essay Set 4- ReadMeFirst.docx. Essay Set 5- ReadMeFirst.docx. Columbia-university-introduction-to-data-science-fall-2012 public leaderboard.csv. Sample submission file.csv.

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Introduction to Data Science, Columbia University | Blog to document and reflect on Columbia Data Science Class

Introduction to Data Science, Columbia University. About the Course 2013. About the Course 2012. About the Team 2012. Blog to document and reflect on Columbia Data Science Class. November 25, 2013. Middot; by kayur. Middot; in Course Topics. Middot; Leave a comment. Too big to fail? November 10, 2013. Middot; by kayur. Middot; in Course Topics. Middot; Leave a comment. October 27, 2013. Middot; by kayur. Middot; in Course Topics. Middot; 60 Comments. Hi Students, Last week Steve Lohr and Andy Lehren from...

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Introduction to Data Science, Columbia University | Blog to document and reflect on Columbia Data Science Class

Introduction to Data Science, Columbia University. About the Course 2013. About the Course 2012. About the Team 2012. Blog to document and reflect on Columbia Data Science Class. November 25, 2013. Middot; by kayur. Middot; in Course Topics. Middot; Leave a comment. Too big to fail? November 10, 2013. Middot; by kayur. Middot; in Course Topics. Middot; Leave a comment. October 27, 2013. Middot; by kayur. Middot; in Course Topics. Middot; 60 Comments. Hi Students, Last week Steve Lohr and Andy Lehren from...

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