Machine learning algorithms for engineering applications Prasenjit Chatterjee, Parmanand Astya, Sudeshna Chakraborty, Pooja, editors.
| Other author | Chatterjee, Prasenjit, 1982- |
| Other author | Nand, Parma (Computer scientist) |
| Other author | Chakraborty, Sudeshna. |
| Format | Electronic |
| Publication Info | New York : Nova Science Publishers, [2022] |
| Description | xiv, 214 pages : illustrations ; 23 cm. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Advances in data science and computing technologies |
| Abstract | "Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organizations thoughtfully apply machine learning algorithms with extensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise. Statistical analysis is an integral part of machine learning and can be described as a form of it, often even utilizing well-known and familiar techniques, that has a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2022028067 |
| ISBN | 9781685074494 (hbk.) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |