Название: Reverse Hypothesis Machine Learning: A Practitioner's Perspective Автор: Parag Kulkarni
Издательство: Springer
Год: 2017
Страниц: 150
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and Machine Learning (ML). Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal Machine Learning. All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same—the forward hypothesis machine paradigm, which tries to minimize uncertainty. The book is useful as a reference book for Machine Learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new Machine Learning applications to solve problems that require creativity.
