DataScience书籍推荐

High-Dimensional Probability

Roman Vershynin

评分 9.4分

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from p

Fundamentals of Data Engineering

Joe Reis, Matt Housley

评分 8.2分

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'l

Agile Data Science

Russell Jurney

评分 8.3分

Mining data requires a deep investment in people and time. How can you be sure you're building the right models? What tools help you connect with the customer's needs? With this hands-on book, you'll

Introduction to Apache Flink: Stream Processing for Real Time and Beyond

Ellen Friedman, Kostas Tzoumas

评分 6.6分

There’s growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing

斯坦福社会创新评论06

斯坦福社会创新评论编辑部

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《斯坦福社会创新评论》英文版指导和激励来自世界各地和社会各个部门（非营利组织、企业和政府）的数百万社会变革领导。通过在线研讨会、会议、杂志、在线文章、播客等，《斯坦福社会创新评论》探讨涉及各类主题的研究、理论和实践，包括影响力投资和非营利组织的商业模式。 《斯坦福社会创新评论》英文版由斯坦福大学PACS中心出版。中文简体版由北京乐平公益基金会引进，汇集了世界各地在社会创新方面的前沿研究、实践、经验