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vrpasradlvjcjelh – Read and download John D. Kelleher’s book Data Science in PDF, EPub, Mobi, Kindle online. Book Data Science by John D. Kelleher

Data Science
by John D. Kelleher

Data Science John D. Kelleher pdf
Data Science John D. Kelleher pdf

Summary: A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects. show more

See other books similar to Data Science by John D. Kelleher pdf:

Machine Learning, Information and Society, Data Strategy, Deep Learning, Metadata, Storytelling with Data, Computational Thinking, Data Science for Business, The Internet of Things, The Future, Feature Engineering for Machine Learning, Cloud Computing, Artificial Intelligence: A Very Short Introduction, Big Data: A Very Short Introduction, Data Visualization, Visualization Analysis and Design, Infonomics, Weapons of Math Destruction, Information and the Modern Corporation, Predictive Analytics

Product details Format Paperback | 280 pages Dimensions 127 x 178 x 14mm | 249.48g Publication date 13 Apr 2018 Publisher MIT Press Ltd Imprint MIT Press Publication City/Country Cambridge, United States Language English Illustrations note 18 b&w illus.; 36 Illustrations, unspecified ISBN10 0262535432 ISBN13 9780262535434 Bestsellers rank 15,256

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