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Applied machine learning for data science practitioners / Vidya Subramanian.
- Format:
- Book
- Author/Creator:
- Subramanian, Vidya, 1978- Author.
- Language:
- English
- Subjects (All):
- Machine learning.
- Quantitative research--Data processing.
- Quantitative research.
- Mathematical statistics--Data processing.
- Mathematical statistics.
- Machine learning--Industrial applications.
- Probabilities.
- Electronic books.
- Physical Description:
- 1 online resource (xxix, 625 pages) : illustrations (chiefly color)
- Place of Publication:
- Hoboken, New Jersey : John Wiley & Sons, Inc., [2025]
- Contents:
- Section 1: Introduction to Machine Learning & Data Science. Chapter 1
- Data Science Overview
- Section 2: Data Preparation & Feature Engineering. Chapter 2
- Data Preparation Overview. Chapter 3
- Data Extraction. Chapter 4
- ML Problem Framing. Chapter 5
- Data Comprehension. Chapter 6
- Data Quality Engineering. Chapter 7
- Feature Optimization. Chapter 8
- Feature Set Finalization
- Section 3: Build, Train, or Estimate the ML Model. Chapter 9
- Regression. Chapter 10
- Classification. Chapter 11
- Ranking. Chapter 12
- Clustering. Chapter 13
- Patterns. Chapter 14
- Time Series. Chapter 15
- Anomaly Detection
- Section 4: Model Performance Optimization. Chapter 16
- Model Optimization & Model Selection. Chapter 17
- Decision Tree. Chapter 18
- Ensemble Methods
- Section 5: ML Ethics. Chapter 19
- ML Ethics
- Section 6: Productionalize the Machine Learning Model. Chapter 20
- Deploy and Monitor Models.
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. Hoboken, N.J. Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on March 18, 2026).
- Other Format:
- Print version: Subramanian, Vidya, 1978- Applied machine learning for data science practitioners
- Print version:
- ISBN:
- 9781394155408
- 1394155409
- 9781394155385
- 1394155387
- 9781394155392
- 1394155395
- Publisher Number:
- 90103817376
- CIPO000221956
- Access Restriction:
- Restricted for use by site license.
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