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Academic Torrents is a new site that is geared around sharing the data sets from scientific papers. For now, it has tons of interesting data sets that lack context. You can browse the data sets directly on the site. Deluge is a good free option. However, as online services generate more and more data, an increasing amount is generated in real-time, and not available in data set form. Some examples of this include data on tweets from Twitter , and stock price data.

Twitter has a good streaming API, and makes it relatively straightforward to filter and stream tweets. You can get started here. There are tons of options here — you could figure out what states are the happiest, or which countries use the most complex language. We also recently wrote an article to get you started with the Twitter API here. Github has an API that allows you to access repository activity and code. You can get started with the API here. The options are endless — you could build a system to automatically score code quality, or figure out how code evolves over time in large projects.

Quantopian is a site where you can develop, test, and operationalize stock trading algorithms. In order to help you do that, they give you access to free minute by minute stock price data. You could build a stock price prediction algorithm.

You could use these calls to build up a set of historical weather data, and make predictions about the weather tomorrow. In this post, we covered good places to find data sets for any type of data science project. We hope that you find something interesting that you want to sink your teeth into! Please let us know! At Dataquest , our interactive guided projects are designed to help you start building a data science portfolio to demonstrate your skills to employers and get a job in data.

Share 0. Tweet 0. Published: September 16, About the author. Vik Paruchuri. You may also like. Read More. Create an account today! We worked with the fishermen to create a dataset of video footage from different boats that can be released to the public. The video data is in the form of standard and well supported MP4 v2 format with H. These videos are on average 35 minutes long at a resolution of x and and vary between The Analytics Edge Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

About this course Skip Course Description In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life.

We will Course Description from Professor Plous: Each of us is dealt a different hand in life, but we all face similar questions when it comes to human behavior: What leads us to like one person and dislike another? How do conflicts and prejudices develop, and how can they be reduced? Can psychological research help protect the environment, and if so, how? This course offers an introduction to classic and contemporary social psychology, covering topics such as decision making, persuasion, group In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.

Uncertainty is unavoidable in real-world applications: we can almost never predict with certainty what will happen in the future, and even in the present and the past, many important aspects of the world are not observed with certainty.

Probability theory gives us the basic foundation to model our beliefs about the different possible states of Keith Devlin Stanford University. About this course: Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years. The goal of the course is to help you develop a valuable mental ability — a powerful way of thinking that our ancestors have developed over three thousand years. Mathematical thinking is not the same as doing mathematics — at least not as mathematics is typically presented in our school system.

School math typically focuses on learning procedures to solve highly Kjell Konis University of Washington. Course Description: COMS W is a graduate introduction to natural language processing, the study of human language from a computational perspective. We will cover syntactic, semantic and discourse processing models. The emphasis will be on machine learning or corpus-based methods and algorithms.

We will describe the use of these methods and models in applications including syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization About this course: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms.

Part II focuses on graph- and string-processing algorithms. Unlike most ISSN metadata, this mapping file is publicly available. Created on. Jason Scott Archivist. These are all released under the Open Data Commons Public Domain Dedication and License , which means you can use without attribution but also we make no guarantees of the accuracy of the data provided so use with that in mind.

If you want to attribute City sources in a paper or other research, we certainly welcome it and it's best practice. If you're using it in an app or part of an analytics workflow, license stacking can be cumbersome, but we welcome attribution where appropriate and useful for users of your products.

If you you need to cite a dataset for a research paper, you can generally use the following. San Francisco Open Data Portal. Retrieved from: [Dataset URL]. When you are on a dataset, just look for the Export button and select the type of file you'd like to download.

Datasets have landing pages with metadata about them. You can download data directly from this page by clicking Export button to the right of the dataset title.



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