Computer Sciences

SPFCNN-Miner: A new classifier to tackle class-unbalanced data

Researchers at Chongqing University in China have recently developed a cost-sensitive meta-learning classifier that can be used when the training data available is high-dimensional or limited. Their classifier, called SPFCNN-Miner, ...

Hi Tech & Innovation

Bullet train champion in Japan will debut in 2030, now being tested

Testing for a train capable of 249mph (400 kph) speeds is to happen about twice a week at night. Bloomberg said ALFA-X is the world's fastest bullet train— well, for now, it is holding that title. Japan has also been working ...

Machine Learning & AI

Smarter training of neural networks

These days, nearly all the artificial intelligence-based products in our lives rely on "deep neural networks" that automatically learn to process labeled data.

Engineering

Novel device promises lower operating costs for rail sector

Maintenance work on rail infrastructure costs the rail sector close to EUR 40 000 per kilometre of railway track. In fact, rail companies spend substantial amounts on repairing tracks and keeping them in good operating condition, ...

Machine Learning & AI

New technique cuts AI training time by more than 60 percent

North Carolina State University researchers have developed a technique that reduces training time for deep learning networks by more than 60 percent without sacrificing accuracy, accelerating the development of new artificial ...

Machine Learning & AI

An AI-based recommendation system for internship placements

Choosing an internship placement is a key step for many students, as an internship can have a substantial impact on their professional development. Researchers at Universitas Pendidikan Ganesha, in Indonesia, have recently ...

Computer Sciences

Recognizing disease using less data

As artificial intelligence systems learn to better recognize and classify images, they are becoming highly-reliable at diagnosing diseases, such as skin cancer, from medical images. But as good as they are at detecting patterns, ...

Automotive

Identifying artificial intelligence 'blind spots'

A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world. Engineers could ...

Computer Sciences

A new approach for steganography among machine learning agents

Researchers at the University of Wisconsin-Madison and Amherst College have recently introduced a new form of steganography in the domain of machine learning called "training set camouflage." Their framework, outlined in ...

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Training

The term training refers to the acquisition of knowledge, skills, and competencies as a result of the teaching of vocational or practical skills and knowledge that relate to specific useful competencies. It forms the core of apprenticeships and provides the backbone of content at institutes of technology (also known as technical colleges or polytechnics). In addition to the basic training required for a trade, occupation or profession, observers of the labor-market[who?] recognize today[update] the need to continue training beyond initial qualifications: to maintain, upgrade and update skills throughout working life. People within many professions and occupations may refer to this sort of training as professional development.

Some commentators use a similar term for workplace learning to improve performance: training and development. One can generally categorize such training as on-the-job or off-the-job:

Training differs from exercise in that people may dabble in exercise as an occasional activity for fun. Training has specific goals of improving one's capability, capacity, and performance.

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This text uses material from Wikipedia, licensed under CC BY-SA