Found 1317 datasets matching "Learning".
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A code repository and accompanying data for incorporating imperfect theory into machine learning for improved prediction and explainability. Specifically, it focuses on the case study of the...
Search relevance: 109.42 | Views last month: 1 -
Increase the number of families receiving early learning home visiting services from 7,517 in 2014 to 7,893 by 2019.
Search relevance: 108.63 | Views last month: 0 -
Meta learning with LLM: supplemental code for reproducibility of computational results for MLT and MLT-plus-TM. Related research paper: "META LEARNING WITH LANGUAGE MODELS: CHALLENGES AND...
Search relevance: 105.31 | Views last month: 0 -
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes,...
Search relevance: 104.18 | Views last month: 2 -
The 2020-2021 School Learning Modalities dataset provides weekly estimates of school learning modality (including in-person, remote, or hybrid learning) for U.S. K-12 public and independent...
Search relevance: 103.94 | Views last month: 5 -
New York City is offering an Outdoor Learning program that allows schools to use the roadbed of the street for classes and social distancing during the COVID-19 crisis. Outdoor Learning - Streets...
Search relevance: 103.83 | Views last month: 0 -
This asset is slated to be retired after February 18, 2026. DCYF office locations can be found at the following link: https://dcyf.wa.gov/find-an-office The Early Learning office locations data...
Search relevance: 102.72 | Views last month: 0 -
Application usage counts by activity and time for AWE Learning applications in Public Libraries. This dataset is updated annually.
Search relevance: 102.35 | Views last month: 0 -
This is a test collection for passage and document retrieval, produced in the TREC 2023 Deep Learning track. The Deep Learning Track studies information retrieval in a large training data regime....
Search relevance: 101.59 | Views last month: 4 -
The 2021-2022 School Learning Modalities dataset provides weekly estimates of school learning modality (including in-person, remote, or hybrid learning) for U.S. K-12 public and independent...
Search relevance: 101.07 | Views last month: 0 -
This dataset contains a comparison of packet loss counts vs handovers using four different methods: baseline, heuristic, distance, and machine learning, as well as the data used to train a machine...
Search relevance: 100.19 | Views last month: 6 -
The Teaching and Learning International Survey, 2013 (TALIS:13), is a study that is part of the Teaching and Learning International Survey (TALIS) program. TALIS:13...
Search relevance: 99.74 | Views last month: 0 -
Streamflow data (Fig. 1a) from the Global Streamflow Indices and Metadata Archive (GSIM) were compiled from repositories at https://doi.org/10.1594/PANGAEA.887477 and...
Search relevance: 98.79 | Views last month: 4 -
Provide childcare and early learning projects to address immediate COVID needs, expand access to childcare and early learning, improve quality and mitigate COVID related developmental delays.
Search relevance: 98.55 | Views last month: 1 -
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany...
Search relevance: 98.30 | Views last month: 0 -
OCHCO built Learning Management System (LMS) instance within the ServiceNow Service Automation Government Cloud Suite (SNOW SAGC).
Search relevance: 97.04 | Views last month: 4 -
Background Assessment, as an inextricable component of the curriculum, is an important factor influencing student approaches to learning. If assessment is to drive learning, then it must...
Search relevance: 95.32 | Views last month: 1 -
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER - Empirical Deep...
Search relevance: 95.20 | Views last month: 26 -
ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using...
Search relevance: 95.10 | Views last month: 0
