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ML.NET is a free software machine learning library for the C# and F# programming languages. [4] [5] [6] It also supports Python models when used together with NimbusML.The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. [7]
Entity Framework (EF) is an open source [2] object–relational mapping (ORM) framework for ADO.NET. It was originally shipped as an integral part of .NET Framework, however starting with Entity Framework version 6.0 it has been delivered separately from the .NET Framework. Entity Framework 6.4 was the latest release of the classic framework.
A schema migration is performed on a database whenever it is necessary to update or revert that database's schema to some newer or older version. Migrations are performed programmatically by using a schema migration tool. When invoked with a specified desired schema version, the tool automates the successive application or reversal of an ...
The first is challenge-based learning/problem-based learning, the second is place-based education, and the third is activity-based learning. Challenge-based learning is "an engaging multidisciplinary approach to teaching and learning that encourages students to leverage the technology they use in their daily lives to solve real-world problems ...
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification , knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.
The Agrega project (Agrega is the Spanish word for "add") is a digital repository which is to be used by 19 educational authorities in Spain. Each educational authority will have its own repository of curricular learning objects created according to educational standards, and each single repository will be able to integrate and interoperate with other learning systems locally and worldwide.
The enhanced partner version of IBM SkillsBuild may also include workshops, expert conversations with IBM coaches and mentors, project-based learning, access to IBM software, specialized support from partners through the learning process, and connection to career opportunities.
Each row key represents an entity ID (i.e., subject) Each row represents an entity instance; Each row (entity instance) is represented in RDF by a collection of triples with a common subject (entity ID). So, to render an equivalent view based on RDF semantics, the basic mapping algorithm would be as follows: create an RDFS class for each table