Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of machine learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model evaluation, and interpretability. With a focus on how machine learning drives informed, data-driven decision-making across industries, the text balances technical depth with clarity. Through case studies, hands-on exercises, and discussions on ethical considerations, this book equips readers with the tools to apply machine learning effectively in solving real-world problems.
Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of machine learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model evaluation, and interpretability. With a focus on how machine learning drives informed, data-driven decision-making across industries, the text balances technical depth with clarity. Through case studies, hands-on exercises, and discussions on ethical considerations, this book equips readers with the tools to apply machine learning effectively in solving real-world problems.
Data-Driven Decisions: An Introduction to Machine Learning (Technology)
Data-Driven Decisions: An Introduction to Machine Learning (Technology)
Product Details
| BN ID: | 2940180693600 |
|---|---|
| Publisher: | Nandini K |
| Publication date: | 11/25/2024 |
| Series: | Technology |
| Sold by: | Draft2Digital |
| Format: | eBook |
| File size: | 4 MB |