LEARN Scikit-Learn: Essential Machine Learning for Data Science
暫譯: 學習 Scikit-Learn：數據科學的基本機器學習

Smart Tech Content, Studiod21, Rodrigues, Diego

LEARN Scikit-Learn: Essential Machine Learning for Data Science
  • 出版商: Independently Published
  • 出版日期: 2025-04-25
  • 售價: $780
  • 貴賓價: 9.5 折 $741
  • 語言: 英文
  • 頁數: 210
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798281460163
  • ISBN-13: 9798281460163
  • 相關分類: Machine Learning、Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

LEARN Scikit-Learn: Essential Machine Learning for Data Science

This book is the key to mastering Scikit-Learn and building market-ready Machine Learning projects. Ideal for professionals and students who seek fast, direct, and applicable results. Learn high-impact techniques, design intelligent solutions, and boost your career in data science.

Includes:
- Quick setup of a productive environment with Python and Scikit-Learn
- Data preprocessing and full pipeline automation
- Fine-tuning models with cross-validation and hyperparameters
- Practical application of regression, classification, and clustering
- Model deployment integrated with Big Data and MLOps environments

Master the most widely used algorithms in the market and accelerate your entry into data science projects with Scikit-Learn.

scikit-learn, machine learning, data science, smart pipelines, model automation, cross-validation, machine learning deployment, big data integration, mlops, spark

商品描述(中文翻譯)

學習 Scikit-Learn：數據科學的基本機器學習

本書是掌握 Scikit-Learn 和構建市場準備的機器學習專案的關鍵。非常適合尋求快速、直接且可應用結果的專業人士和學生。學習高影響力的技術，設計智能解決方案，並提升您在數據科學領域的職業生涯。

包括：
- 使用 Python 和 Scikit-Learn 快速設置生產環境
- 數據預處理和完整的管道自動化
- 使用交叉驗證和超參數微調模型
- 實用的回歸、分類和聚類應用
- 與大數據和 MLOps 環境集成的模型部署

掌握市場上最廣泛使用的算法，並加速您進入數據科學專案的步伐，使用 Scikit-Learn。

scikit-learn、機器學習、數據科學、智能管道、模型自動化、交叉驗證、機器學習部署、大數據集成、mlops、spark

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