Download Applied Machine Learning for Data Science Practitioners 2025
Applied Machine Learning for Data Science Practitioners by Vidya Subramanian book pdf download. offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case.
The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results.
This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed.
covers essential topics, including:
- Data Science Fundamentals: that provide you with an overview of core concepts, laying the foundation for understanding ML.
- Data Preparation” covers the process of framing ML problems and preparing data and features for modeling.
- ML Problem Solving introduces you to a range of ML algorithms, including Regression, Classification, Ranking, Clustering, Patterns, Time Series, and Anomaly Detection.
- Model Optimization explores frameworks, decision trees, and ensemble methods to enhance performance and guide the selection of the most effective model.
- ML Ethics: addresses ethical considerations, including fairness, accountability, transparency, and ethics.
- Model Deployment and Monitoring: focuses on production deployment, performance monitoring, and adapting to model drift.
eBook details
- Author (s): Vidya Subramanian
- Publication year: 2025
- Publisher: Wiley6
- Language: English
- ISBN: 1394155379, 9781394155378, 9781394155392
- Number of pages: 1103
- Book format: PDF
- File size: 32 MB
