《数据科学原理（影印版 英文版）》旨在帮助你将数学、编程和商业分析这三者融会贯通。有了《数据科学原理（影印版 英文版）》，在面对复杂的问题时，无论是抽象和原始的数据统计，还是可实施的理念，你都会充满自信。 我们采用了一种独特的方法来建立起数学和计算机科学之间的桥梁，你会在这次令人兴奋的学习之旅中成长为一名数据科学家。从清洗和准备数据开始，然后到给出有效的数据挖掘策略和技术，你会经历数据科学的整个流程，建立起数据科学的各个组成部分是如何相互协作的宏观概念，学习基本的数学和统计学知识以及一些目前由数据科学家和分析师用到的伪代码。除此之外，你还将掌握机器学习，了解一些有用的统计模型，这些模型能够帮助你控制和处理*密集的数据集，学会如何创建出能股表达数据意图的可视化方法。
Understand, analyze, and predict data using Machine Learning concepts and tools
Sinan Ozdemir, Sunil Kakade
and Marco Tibaldeschi
Principles of Data Science
Understand, analyze, and predict data using
Machine Learning concepts and tools
BIRMINGHAM - MUMBAI
Principles of Data Science
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About the authors
Sinan Ozdemir is a data scientist, start-up founder, and educator living in the
San Francisco Bay Area. He studied pure mathematics at Johns Hopkins University.
He then spent several years conducting lectures on data science at Johns Hopkins
University before founding his own start-up, Kylie.ai, which uses articial intelligence
to clone brand personalities and automate customer service communications.
Sinan is also the author of Principles of Data Science, First Edition available
Sunil Kakade is a technologist, educator, and senior leader with expertise
in creating data- and AI-driven organizations. He is in the adjunct faculty at
Northwestern University, Evanston, IL, where he teaches graduate courses of data
science and big data. He has several research papers to his credit and has presented
his work in big data applications at reputable conferences. He has US patents in
areas of big data and retail processes. He is passionate about applying data science
to improve business outcomes and save patients' lives. At present, Sunil leads the
information architecture and analytics team for a large healthcare organization
focused on improving healthcare outcomes and lives with his wife, Pratibha, and
daughter, Preeti, in Scottsdale, Arizona.
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