Machine learning and artificial intelligence in marketing and sales : essential reference for practitioners and data scientists / by Niladri Syam, Rajeeve Kaul
Chapter 1. Training and performance assessment -- Chapter 2. Neural networks -- Chapter 3. Overfitting and regulation -- Chapter 4. Support vector machines -- Chapter 5. Random forest, bagging and boosting of decision trees
Summary
Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming
Notes
Online resource; title from digital title page (viewed on June 01, 2021)
