Practical Machine Learning for Data Analysis Using Python

Subasi, Abdulhamit

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商品描述

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems.

商品描述(中文翻譯)

《使用Python進行實用機器學習進行數據分析》是一本解決問題者的指南,用於創建真實世界的智能系統。它提供了一種綜合的方法,包括概念、實踐、實例和示例代碼。本書教讀者掌握理解和解決機器學習中不同問題所需的重要技能。通過在Python機器學習生態系統中呈現真實案例研究,它教授了成為成功從業者所需的機器學習技術。本書還著重於建立機器學習知識基礎,以解決不同領域的真實案例研究,包括生物醫學信號分析、醫療保健、安全、經濟和金融等。此外,它涵蓋了廣泛的機器學習模型,包括回歸、分類和預測。本書的目標是幫助廣泛的讀者,包括IT專業人士、分析師、開發人員、數據科學家、工程師和研究生,解決自己的真實世界問題。