Machine Learning :For Business Applications

By:

Publication details: Mc Graw Hill Education New Delhi 2025Edition: 1ISBN:

978-9364443531

Subject(s):

DDC classification:

006.31PRA

Summary: This 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Barcode
Text Book	VAST Central Library	Computer Science and Engineering	S-23/CS	006.31 PRA (Browse shelf(Opens below))	Available	38131

Browsing VAST Central Library shelves,Shelving location: S-23/CS,Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.31 DUT Machine Learning_2nd Edition	006.31 GOP Applied Machine Learning_2nd Edition	006.31 KUM Machine Learning Using R	006.31 PRA Machine Learning :For Business Applications	006.31 RAO Machine Learning in Data Science Using Python	006.31 SHW Understanding Machine Learning: From Theory to Algorithms	006.31 THE Data Science and Machine Learning using Python	Next

This 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.

English

There are no comments on this title.

to post a comment.