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.

《使用Python进行数据分析的实用机器学习》是创建真实世界智能系统的问题解决者指南。它提供了一个全面的方法，包括概念、实践、实践案例和样本代码。本书向读者传授了理解和用机器学习解决不同问题所需的重要技能。它通过介绍Python机器学习生态系统中的真实案例研究，传授成为成功从业者所必需的机器学习技术。本书还着重于建立机器学习知识的基础，以解决各个领域的不同实际案例研究，包括生物医学信号分析、医疗保健、安全、经济和金融。此外，它涵盖了广泛的机器学习模型，包括回归、分类和预测。本书的目标是帮助广大读者，包括IT专业人士、分析师、开发人员、数据科学家、工程师和研究生，解决他们自己的真实世界问题。