Download the fantastic book titled Optimization in Machine Learning and Applications written by Anand J. Kulkarni, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Optimization in Machine Learning and Applications", which was released on 29 November 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Optimization in Machine Learning and Applications by Anand J. Kulkarni PDF
This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.
Detail About Optimization in Machine Learning and Applications PDF
- Author : Anand J. Kulkarni
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 202 pages
- ISBN : 9811509948
- Release Date : 29 November 2019
- PDF File Size : 50,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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