listmonk是一个独立的，自托管的新闻通讯和邮件列表管理器。 它速度快，功能丰富，并且打包成一个二进制文件。 它使用PostgreSQL数据库作为其数据存储。 访问 安装 码头工人 最新映像可从DockerHub上的listmonk/listmonk:latest 。 使用示例通过docker 运行listmonk和Postgres DB，如下所示： 演示版 mkdir listmonk-demo sh -c " $( curl -sSL https://raw.githubusercontent.com/knadh/listmonk/master/install-demo.sh ) " 删除容器后，该演示不会保留Postgres。 请勿在生产中使用此演示设置。 生产 docker-compose up db以运行Postgres DB。 docker-compose run -

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* Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems 　　 * Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support 　　 * The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining 　　 * More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining 　　 * Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

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Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic micro-decisioning — targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.