Overview

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.

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John D. Kelleher is a professor of computer science and the Academic Leader of the Information, Communication, and Entertainment Research Institute at the Dublin Institute of Technology. He is the coauthor of Fundamentals of Machine Learning for Predictive Data Analytics (MIT Press). Brendan Tierney, Oracle ACE Director, is an independent consultant and lectures on Data Mining and Advanced Databases in the Dublin Institute of Technology in Ireland. He has 23+ years of extensive experience working in the areas of Data Mining, Data Warehousing, Data Architecture and Database Design. Chris Sorensen is the AudioFile Earphones Award-winning narrator of Brian Lies' Bats at the Beach, Colum McCann's Let the Great World Spin, and Margaret Peterson Haddix's Sent. Other narrations include Patricia Wood's Lottery and Jodi Picoult's Songs of the Humpback Whale, among many others.

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