Reverse Hypothesis Machine Learning is popular PDF and ePub book, written by Parag Kulkarni in 2017-03-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Reverse Hypothesis Machine Learning can be Read Online from any device for your convenience.
Reverse Hypothesis Machine Learning Book PDF Summary
This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. 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 RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. 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.
Detail Book of Reverse Hypothesis Machine Learning PDF
- Author : Parag Kulkarni
- Release : 30 March 2017
- Publisher : Springer
- ISBN : 9783319553122
- Genre : Technology & Engineering
- Total Page : 150 pages
- Language : English
- PDF File Size : 16,8 Mb
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