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本站由清华大学信息化技术中心支持创办,由清华大学 TUNA 协会运行维护。 清华大学 TUNA 协会,全名清华大学学生网络与开源软件协会,是由清华大学热爱网络技术和开源软件的极客组成的学生技术社团。
- Subjects:
- Computing
- Keywords:
- Open source software Computer software -- Development
- Resource Type:
- Others
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In these comprehensive video courses, created by Santiago Basulto, you will learn the whole process of data analysis. You'll be reading data from multiple sources (CSV, SQL, Excel), process that data using NumPy and Pandas, and visualize it using Matplotlib and Seaborn, Additionally, we've included a thorough Jupyter Notebook course, and a quick Python reference to refresh your programming skills.
- Course related:
- AMA1600 Fundamentals of AI and Data Analytics and AMA1751 Linear Algebra
- Subjects:
- Mathematics and Statistics and Computing
- Keywords:
- Computer programming Computer science Python (Computer program language)
- Resource Type:
- Others
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This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started work on this project as part of his thesis. In 2010 Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort and Vincent Michel of INRIA took leadership of the project and made the first public release, February the 1st 2010. Since then, several releases have appeared following a ~ 3-month cycle, and a thriving international community has been leading the development.
- Course related:
- EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and Information Processing
- Subjects:
- Computing
- Keywords:
- Machine learning Python (Computer program language)
- Resource Type:
- Others
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Others
This package contains: 1. SUFR-W, a dataset of “in the wild” natural images of faces gathered from the internet. The protocol used to create the dataset is described in Leibo, Liao and Poggio (2014) - https://cbmm.mit.edu/publications/conference-abstracts/subtasks-unconstrained-face-recognition 2. The full set of SUFR synthetic datasets, called the “Subtasks of Unconstrained Face Recognition Challenge” in Leibo, Liao and Poggio (2014) - https://cbmm.mit.edu/publications/conference-abstracts/subtasks-unconstrained-face-recognition
- Subjects:
- Computing
- Keywords:
- Human face recognition (Computer science) Optical pattern recognition
- Resource Type:
- Others
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Others
菜鸟教程的 Slogan 为:学的不仅是技术,更是梦想!我们相信:再牛逼的梦想也抵不住傻逼似的坚持!我们坚持一件事情,并不是因为这样做了会有效果,而是坚信,这样做是对的。本站域名为 runoob.com, runoob 为 Running Noob 的缩写,意为:奔跑的菜鸟。本站包括了HTML、CSS、Javascript、PHP、C、Python等各种基础编程教程。同时本站中也提供了大量的在线实例,通过实例,您可以更好地学习如何建站。本站致力于推广各种编程语言技术,所有资源是完全免费的,并且会根据当前互联网的变化实时更新本站内容。
- Subjects:
- Computing
- Keywords:
- Programming languages (Electronic computers) Computer programming
- Resource Type:
- Others
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Others
In the Federal Aviation Administration(FAA), Human Factors is defined as a“multidisciplinary effort to generate and compile information about human capabilities and limitations and apply that information to equipment, systems,facilities, procedures, jobs, environments, training, staffing, and personnel management for safe,comfortable, and effective human performance” (FAA Order 9550.8A). FAA human factors researchers seek to understand the physical, behavioral, cognitive, and social characteristics of aviation professionals—such as pilots, air traffic controllers,technical operations specialists, and aircraft maintenance technicians—and the systems that they use.
- Course related:
- AAE4903 Human Factors in Aviation
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Aeronautics -- Safety measures United States. Federal Aviation Administration Aeronautics -- Human factors
- Resource Type:
- Others
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Others
The data presented in this article are related to the research article entitled: “Information Strategies for Energy Conservation: A Field Experiment in India” (Victor L. Chen, Magali A. Delmas, Stephen L. Locke, Amarjeet Singh, 2017).The availability of high-resolution electricity data offers benefits to both utilities and consumers to understand the dynamics of energy consumption for example, between billing periods or times of peak demand. However, few public datasets with high-temporal resolution have been available to researchers on electricity use, especially at the appliance-level. In this article, we describe data collected in a residential field experiment for 19 apartments at an Indian faculty housing complex during the period from August 1, 2013 to May 12, 2014. The dataset includes detailed information about electricity consumption. It also includes information on apartment characteristics and hourly weather variation to enable further studies of energy performance. These data can be used by researchers as training datasets to evaluate electricity usage consumption.
- Subjects:
- Electrical Engineering
- Keywords:
- India Electric power -- Conservation Electric power consumption
- Resource Type:
- Others
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Others
Learn the most important language for data science.
- Subjects:
- Computing
- Keywords:
- Python (Computer program language)
- Resource Type:
- Others
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Others
Solve short hands-on challenges to perfect your data manipulation skills.
- Subjects:
- Computing
- Keywords:
- Python (Computer program language) Electronic data processing Information visualization
- Resource Type:
- Others
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Others
Projections of commercial airline flight schedules worldwide. Describe characteristics of each flight such as: departure and arrival airports, flight times, carrier, fares, capacity, and more. Projections are made at the beginning of every time period (month or year) and project the schedules for that time period until the next update is received. Data from 1979-March 1987 are available monthly. Data from 1987 onward are available annually.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Airlines Aeronautics Aeronautics -- Flights
- Resource Type:
- Others
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