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Project Talent is a national longitudinal study that first surveyed over 440,000 American high school students in 1960. At the time, it was the largest and most comprehensive study of high school students ever conducted in the United States.
High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce ...
In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. [1] Such algorithms function by making data-driven predictions or decisions, [2] through building a mathematical model from input data. These input data used to build the model are usually divided into multiple data ...
A longitudinal study (or longitudinal survey, or panel study) is a research design that involves repeated observations of the same variables (e.g., people) over long periods of time (i.e., uses longitudinal data). It is often a type of observational study, although it can also be structured as longitudinal randomized experiment. [1]
The set of images in the MNIST database was created in 1994. Previously, NIST released two datasets: Special Database 1 (NIST Test Data I, or SD-1); and Special Database 3 (or SD-2). They were released on two CD-ROMs. SD-1 was the test set, and it contained digits written by high school students, 58,646 images written by 500 different writers.
Logo. High School and Beyond (HS&B) is a longitudinal study of a nationally representative sample of people who were high school sophomores and seniors in 1980.The study was originally funded by the United States Department of Education’s National Center for Education Statistics (NCES) as a part of their Secondary Longitudinal Studies Program.
Collaborative projects included a sleep and physical activity study from the in-home sample, an adolescent brain development study in three cities, and a mobile phone diary study of adolescent relationships. [6] In late 2020, the seventh wave of data collection started for 22-year-olds and their families.
An unbalanced panel (e.g., the second dataset above) is a dataset in which at least one panel member is not observed every period. Therefore, if an unbalanced panel contains N {\displaystyle N} panel members and T {\displaystyle T} periods, then the following strict inequality holds for the number of observations ( n {\displaystyle n} ) in the ...