| 000 | 01187nam a22001937a 4500 | ||
|---|---|---|---|
| 005 | 20260407114634.0 | ||
| 020 | _a978-9364443531 | ||
| 082 | _a006.31PRA | ||
| 100 |
_aPratyush Banerjee _91121 |
||
| 100 |
_aSupriti Mishra _91122 |
||
| 100 |
_aShivashankar Chari _91123 |
||
| 245 | _aMachine Learning :For Business Applications | ||
| 250 | _a1 | ||
| 260 |
_aMc Graw Hill Education _bNew Delhi _c2025 |
||
| 520 | _aThis book aims to serve as a textbook for a course on Machine Learning for Business Applications and related courses. It provides a comprehensive overview of how machine learning and deep learning can be used in various business analytics situations. It equips the reader with the understanding of various tools like Jupyter Notebook (for Python coding), and Orange (Python-based GUI interface). This will help the reader to understand the application of various algorithms for performing analysis by using different real-life case studies and examples. With coverage of topics like Social Media Analytics, Text Mining, and Ethics of Data Mining with AI, this book will appeal to a wider range of audiences. | ||
| 546 | _aEnglish | ||
| 650 |
_aCSE _914 |
||
| 942 | _cBK | ||
| 999 |
_c38038 _d38038 |
||