Sep 24, 2020 · Learn how Microsoft 365 learning pathways can accelerate usage and adoption of Microsoft 365 services in your organization. Learning pathways include a custom SharePoint Online web part and a modern SharePoint Online communications training site that is easily provisioned to your Microsoft 365 tenant.
Prerequisite quiz. This quiz will not count toward your grade, but will be used by the course staff to check prerequisites (6.036/6.862 or 6.867 or 9.520/6.860 or 6.806/6.864 or 6.438 or 6.034) and to assess students' preparation for this class.
Nov 21, 2018 · Weather Forecasting using Machine Learning Models and Model Accuracy Assessment Published on November 21, 2018 November 21, 2018 • 23 Likes • 2 Comments
IMathAS is an Internet Mathematics Assessment System. It is primarily a web-based math assessment tool for delivery and automatic grading of math homework and tests. Questions are algorithmically generated and numerical and math expression answers can be computer graded.
A language-independent approach to automatic text difficulty assessment for second-language learners. Link to full Paper
While most workshops are favorably assessed by learners at the time of delivery, no systematic, long-term follow-up study has previously been done on the efficacy of the training delivered, nor of the short or longer term impact that such training might have had on learners’ work practices, further skills acquisition, or subsequent career paths.
In the first test of the learning-to-rank (LTR) project, we evaluated the performance of a click-based model on users searching English Wikipedia. We found that users were slightly more likely to engage with MLR-provided results than with BM25 results (assessed via the clickthrough rate and a preference statistic).
Jan 27, 2016 · In a Facebook post expressing support for an assessment of deep learning frameworks conducted by Microsoft researcher Kenneth Tran, Yann LeCun, director of AI at Facebook, contends that Torch has the fewest deficiencies among deep learning frameworks. "Torch has an almost perfect rating on all counts," he notes.
Visualizations can confer useful information about what a network is learning. When building a Convolutional Neural Network to identify objects in images, we might want to be able to interpret the model’s predictions. For example, we might want to explain why the network classifies a particular image as a spaceship.
Learning Where to Park by Active Inference In order to assess the feasibility of active inference as a framework for synthetic agents in a real-world setting, we developed a ground-based robot that needs to learn to navigate to an undisclosed parking location.
Mar 01, 2018 · Assess DT/RT/Bag Learners for Machine Learning for Trading Class - BehlV10/Assess_Learners_ML4T
Active Learning Through Formative Assessment Formative assessment is a key component in helping learners solidify their understanding and transfer ideas from short-term memory into long-term memory. It’s important to use formative assessments frequently to help learners transition new concepts into their long-term memory, before their short ...
May 27, 2020 · GitHub Actions gives you the flexibility to build an automated software development lifecycle workflow. To help development teams easily create workflows to build, test, package, release, and deploy to Azure, more than 30 GitHub Actions for Azure are published on GitHub Marketplace, with more planned to roll out in the coming months.
ML4T_2018Spring/: Root directory for course data/: Location of data; grading/: Grading libraries used by the individual grading scripts for each assignment. util.py: Common utility library. This is the only allowed way to read in stock data. assess_portfolio/: Root directory for this project