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multi-task learning, along with more formal theoretical foundations. Influential publications on transfer learning include the book Learning to Learn in...

The Learning Tree is a semiautobiographical novel written by Gordon Parks. The Learning Tree is a 1969 drama film based on the book. Learning Tree may...

The Book of Learning and Forgetting (ISBN 080773750X) is a 1998 book in which author Frank Smith investigates the history of learning theories and the...

representative book on research into machine learning during the 1960s was Nilsson's book on Learning Machines, dealing mostly with machine learning for pattern...

Learning Perl, also known as the llama book, is a tutorial book for the Perl programming language, and is published by O'Reilly Media. The first edition...

The learning pyramid (also known as “the cone of learning”, “the learning cone”, “the cone of retention”, “the pyramid of learning”, or “the pyramid of...

"the llama book" and "the alpaca book". This book is written in very much the same style as its predecessor. It picks up right where Learning Perl left...

Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning...

ways: the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking...

Scott Brown and architectural theorist Robert Venturi in their 1972 book Learning from Las Vegas. The style flourished from the 1980s through the 1990s...

the term in 1968 in the book Learning for Mastery to consider formative assessment as a tool for improving the teaching-learning process for students. His...

Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Q-learning at its simplest...

The Great Learning or Daxue was one of the "Four Books" in Confucianism attributed to one of Confucius' disciples, Zengzi. The Great Learning had come...

Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of...

the O'Reilly book "Learning the vi and Vim Editors". An older version (vile 8.0) was presented in Chapter 12 of the O'Reilly book "Learning the vi Editor"...

The Alignment Problem: Machine Learning and Human Values is a 2020 non-fiction book by the American writer Brian Christian. It is based on numerous interviews...

Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different...

The Advancement of Learning (full title: Of the Proficience and Advancement of Learning, Divine and Human) is a 1605 book by Francis Bacon. It inspired...

The Quote ... Unquote Book of Love, Death and the Universe, 1980, ISBN 0-04-827022-9 Waugh, Evelyn (1964). A Little Learning (1st ed.). London: Chapman...

Learning to Labour: How Working Class Kids Get Working Class Jobs is a 1977 book on education, written by British social scientist and cultural theorist...