Python Machine Learning (Paperback)

Sebastian Raschka

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商品描述

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics

About This Book

  • Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization
  • Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms
  • Ask and answer tough questions of your data with robust statistical models, built for a range of datasets

Who This Book Is For

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

What You Will Learn

  • Explore how to use different machine learning models to ask different questions of your data
  • Learn how to build neural networks using Keras and Theano
  • Find out how to write clean and elegant Python code that will optimize the strength of your algorithms
  • Discover how to embed your machine learning model in a web application for increased accessibility
  • Predict continuous target outcomes using regression analysis
  • Uncover hidden patterns and structures in data with clustering
  • Organize data using effective pre-processing techniques
  • Get to grips with sentiment analysis to delve deeper into textual and social media data

In Detail

Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.

Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.

Style and approach

Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

商品描述(中文翻譯)

深入了解機器學習的更深層見解,這本重要的預測分析指南將帶領您進入尖端的預測分析領域。

關於本書

- 利用Python最強大的開源庫進行深度學習、數據整理和數據可視化
- 學習改進和優化機器學習系統和算法的有效策略和最佳實踐
- 使用針對各種數據集設計的強大統計模型來提出和回答數據中的難題

適合閱讀對象

如果您想了解如何使用Python來回答數據中的關鍵問題,無論您是從頭開始還是想擴展您的數據科學知識,這是一本必不可少的資源。

您將學到什麼

- 探索如何使用不同的機器學習模型來提出數據中的不同問題
- 學習如何使用Keras和Theano構建神經網絡
- 發現如何編寫乾淨優雅的Python代碼,以優化算法的效能
- 了解如何將機器學習模型嵌入網絡應用程序,以提高可訪問性
- 使用回歸分析預測連續目標結果
- 通過聚類揭示數據中的隱藏模式和結構
- 使用有效的預處理技術組織數據
- 掌握情感分析,深入研究文本和社交媒體數據

詳細內容

機器學習和預測分析正在改變企業和其他組織的運作方式。能夠理解複雜數據中的趨勢和模式對於成功至關重要,成為解鎖當今具有挑戰性市場增長的關鍵策略之一。Python可以幫助您提供對數據的關鍵見解,其作為一種語言的獨特能力使您能夠構建複雜的算法和統計模型,揭示新的觀點並回答對成功至關重要的關鍵問題。

《Python機器學習》讓您進入預測分析的世界,並展示了為什麼Python是世界領先的數據科學語言之一。如果您想對數據提出更好的問題,或者需要改進和擴展機器學習系統的能力,這本實用的數據科學書籍是無價的。涵蓋了包括scikit-learn、Theano和Keras在內的多個強大的Python庫,並提供從情感分析到神經網絡的指導和技巧,您很快就能回答您和您的組織面臨的一些最重要的問題。

風格和方法

《Python機器學習》將機器學習背後的基本理論原則與其實際應用相結合,讓您專注於提出和回答正確的問題。它將引導您了解Python及其強大的機器學習庫的關鍵要素,同時演示如何掌握各種統計模型。