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| | Harry J. Foxwell is an associate professor at George Mason University’s College of Engineering and Computing, where he teaches graduate courses in cloud computing and data analytics. He previously worked for Oracle and Sun Microsystems as a principal systems engineer supporting operating systems and virtualization technologies. He is the coauthor of several technical articles and books, including Slicing and dicing servers: a guide to virtualization and containment technologies and The Sun BluePrints guide to Solaris Containers: virtualization in the Solaris Operating System. He also coauthored Pro OpenSolaris, Oracle Solaris 11 system administration: the complete reference, and Oracle Solaris 11.2 system administration handbook, and recently authored Creating good data. He earned his doctorate in information technology, in 2003, from George Mason University (Fairfax, VA). Harry is a Vietnam veteran; he served as a platoon sergeant in the US Army’s 1st Infantry Division from 1968-1969. He was awarded an Air Medal and a Bronze Star. For additional information about Harry, please visit his home page: http://cs.gmu.edu/~hfoxwell. |
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 Introduction to machine learning in the cloud with python: concepts and practices
Gupta P., Sehgal N., Springer International Publishing, New York, NY, 2021. 303 pp. Type: Book (978-3-030712-69-3)
Cloud computing vendors, such as Amazon, IBM, Google, Oracle, Microsoft, and others, not only provide storage and compute resources for applications, but data analytics services as well. These platforms support various dataset exploration and mode...
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Feb 24 2022 |
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Practical natural language processing with Python: with case studies from industries using text data at scale
Sri M., Apress, New York, NY, 2021. 272 pp. Type: Book (978-1-484262-45-0)
Understanding spoken and written communication can be difficult, even for humans. Creating linguistic processes and algorithms for computers is extremely challenging. Natural language processing (NLP) technology is more common than mos...
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Nov 9 2021 |
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Data-driven science and engineering: machine learning, dynamical systems, and control
Brunton S., Kutz J., Cambridge University Press, New York, NY, 2019. 492 pp. Type: Book (978-1-108422-09-3)
Gartner, an information technology (IT) research organization, tracks emerging and maturing technologies using its famous “hype cycle” graphics [1]. Data science, big data, and related analytics have followed Gartne...
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Nov 18 2019 |
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Machine learning for decision makers: cognitive computing fundamentals for better decision making
Kashyap P., Apress, New York, NY, 2017. 355 pp. Type: Book (978-1-484229-87-3)
Machine learning (ML) encompasses a myriad of technical, business, social, and scientific methods and disciplines. Project managers and technology experts are faced with an ever-expanding field of new concepts, vocabulary, algorithms, ...
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Apr 26 2019 |
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Next-generation big data: a practical guide to Apache Kudu, Impala, and Spark
Quinto B., Apress, New York, NY, 2018. 557 pp. Type: Book (978-1-484231-46-3)
Since the introduction of Apache Hadoop nearly a decade ago, new tools and methods for analyzing large datasets have evolved rapidly, dramatically improving performance and providing easier and more powerful query languages....
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Apr 10 2019 |
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Practical LXC and LXD: Linux containers for virtualization and orchestration
Kumaran S. S., Apress, New York, NY, 2017. 159 pp. Type: Book (978-1-484230-23-7)
Virtualized environments, both virtual machines (VMs) and containers, have become the essential technologies of elastic cloud computing services. System administrators of such services frequently encounter Linux-based virtualization, i...
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Jan 3 2018 |
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Unix: the textbook (3rd ed.)
Sarwar S., Koretsky R., Chapman & Hall/CRC, Boca Raton, FL, 2017. 1380 pp. Type: Book (978-1-482233-58-2)
This 1380-page, five-pound behemoth of a “textbook” is unlikely to burden the backpacks of operating system (OS) students, but it certainly provides a definitive academic and professional reference for one of the mo...
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Aug 29 2017 |
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Big data analytics: methods and applications
Pyne S., Rao B., Rao S., Springer International Publishing, New York, NY, 2016. 276 pp. Type: Book (978-8-132236-26-9), Reviews: (1 of 2)
Big data analytics has generated much research attention in the past decade, focusing on the architectural and methodological challenges of processing enormous datasets and extreme rates of data generation and collection (two of the th...
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Apr 26 2017 |
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Computer Go
Daniel Bump. YouTube, 00:51:53, published on Aug 2, 2016, Stanford, https://www.youtube.com/watch?v=8B3_UouNZo8. Type: Video
Daniel Bump of Stanford University reviews in this lecture the history of efforts to develop programs that play the ancient Asian game of Go. Such programs have been more difficult than those for chess, due to the greater complexity of...
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Jan 31 2017 |
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Learning Unix for OS X: going deep with the terminal and shell (2nd ed.)
Taylor D., O’Reilly Media, Inc., Sebastopol, CA, 2016. 238 pp. Type: Book (978-1-491939-98-7)
Apple’s OS X is (mostly) Unix (UNIX is a trademarked term [1]), as it was derived from the University of California, Berkeley’s Berkeley software distribution (BSD) Unix, but with a few non-Unix features. And while ...
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Sep 13 2016 |
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