The Elements of Statistical Learning (2nd Edition, Hardcover) — Like New, Clean Copy — Hastie, Tibshirani & Friedman
Description:
This is a fresh, clean, like‑new hardcover of The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition) — one of the most respected and widely used textbooks in machine learning, statistics, and data science.
✔ No writing, no highlighting, no marks
✔ Pages crisp, binding tight
✔ Smoke‑free storage
✔ Ships fast and protected
This edition covers essential modern learning methods including regression, classification, neural networks, ensemble methods, boosting, random forests, and unsupervised learning — making it a favorite for graduate programs, data scientists, and machine learning practitioners.
If you’re looking for a pristine copy of this foundational text, this one is as close to new as it gets.
Condition: Like New
ISBN: 978‑0‑387‑95284‑0
Format: Hardcover
Authors: Trevor Hastie, Robert Tibshirani, Jerome Friedman
Perfect for:
Students • Data Scientists • Statisticians • Machine Learning Engineers • Academic Libraries
Pricing:
Comparable like‑new copies currently sell for $70–$100, so this is a strong value for anyone seeking a clean, high‑quality edition.