Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
暫譯: 使用 Python 的實用機器學習：構建現實世界智能系統的問題解決者指南

Dipanjan Sarkar, Raghav Bali, Tushar Sharma

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

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商品描述

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully.

Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code.

 

Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered.

 

Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment.

 

 

 

Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem.

 

 

 

 

Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today!

What You'll Learn

 

  • Execute end-to-end machine learning projects and systems
  • Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks
  • Review case studies depicting applications of machine learning and deep learning on diverse domains and industries
  • Apply a wide range of machine learning models including regression, classification, and clustering.
  • Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning.

 

Who This Book Is For
 
IT professionals, analysts, developers, data scientists, engineers, graduate students

商品描述(中文翻譯)

掌握識別和解決複雜問題所需的基本技能，使用機器學習和深度學習。這本書利用流行的 Python 機器學習生態系統中的實際案例，是您學習機器學習藝術與科學的完美伴侶，幫助您成為成功的從業者。本書中使用的概念、技術、工具、框架和方法論將教您如何思考、設計、構建和成功執行機器學習系統和專案。

《實用 Python 機器學習》遵循結構化和全面的三層次方法，並包含大量實作範例和程式碼。

第一部分專注於理解機器學習的概念和工具。這包括機器學習的基本知識，廣泛概述演算法、技術、概念和應用，接著介紹整個 Python 機器學習生態系統。還涵蓋了有用的機器學習工具、庫和框架的簡要指南。

第二部分詳細介紹標準的機器學習流程，重點在於數據處理分析、特徵工程和建模。您將學習如何處理、整理、總結和可視化各種形式的數據。特徵工程和選擇方法將使用實際數據集進行詳細說明，隨後進行模型構建、調整、解釋和部署。

第三部分探討多個涵蓋零售、交通、電影、音樂、市場行銷、計算機視覺和金融等多樣領域和行業的實際案例研究。對於每個案例研究，您將學習各種機器學習技術和方法的應用。這些實作範例將幫助您熟悉最先進的機器學習工具和技術，並了解哪些演算法最適合解決特定問題。

《實用 Python 機器學習》將使您能夠立即開始解決自己的機器學習問題！

您將學到的內容：

- 執行端到端的機器學習專案和系統
- 實作行業標準的開源、穩健的機器學習工具和框架的範例
- 回顧展示機器學習和深度學習在多樣領域和行業應用的案例研究
- 應用各種機器學習模型，包括回歸、分類和聚類
- 理解並應用最新的深度學習模型和方法論，包括 CNN、RNN、LSTM 和遷移學習

本書適合對象：

IT 專業人士、分析師、開發者、數據科學家、工程師、研究生

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