『統計的学習の基礎』のTrevor Hastieら統計的学習の最強の著者チームによる世界的ベストセラー・テキストの既刊Ｒ版に続く、近年さらに人気のあるPython版として大注目！各章にPython環境の科学的コンピューティングによる分析と手法の実装をガイドするチュートリアルを含む。New in softcover. Hardcover was published in 2023. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.