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  1-10 of 35 Reviews about "General (E.0)": Date Reviewed
   Understand, manage, and prevent algorithmic bias: a guide for business users and data scientists
Baer T.,  Apress, New York, NY, 2019. 260 pp. Type: Book (978-1-484248-84-3)

This is one of the most enlightening books about the hidden risks of applying machine learning techniques, and particularly algorithms, in decision making. The book unveils the many potential sources of algorithmic bias, raising serious questions ...

Aug 25 2020
  Learn RStudio IDE: quick, effective, and productive data science
Campbell M.,  Apress, New York, NY, 2019. 164 pp. Type: Book (978-1-484245-10-1)

R is one of most popular programming languages used in statistical computing. RStudio is an easy-to-use, free, and open-source integrated development environment (IDE) to learn, apply, and develop an R program. Campbell’s book provides step-...

May 21 2020
  Core data analysis: summarization, correlation, and visualization (2nd ed.)
Mirkin B.,  Springer International Publishing, New York, NY, 2019. 540 pp. Type: Book (978-3-030002-70-1)

Data science recently emerged as a hot topic. Mirkin’s book explores the strength of data analysis from both data summarization and knowledge discovery points of view. In addition to quantified summarization, correlation and visualization (g...

Mar 12 2020
  Data sketching
Cormode G.  Queue 15(2): 49-67, 2017. Type: Article

This lively article deals with the creation of datasets for testing as standalone projects separate from their underlying applications. The starting assumption is simple: as live data is generally not suitable for demos due to privacy concerns, th...

Feb 28 2020
  Access controls and health care records: Who owns the data?
Evans D., McDonald R., Coatta T.  Queue 17(2): 76-92, 2019. Type: Article

This is an interesting discussion with David Evans, Richard McDonald, and Terry Coatta. David Evans is the chief technology officer (CTO) of Toronto-based HealthChain, Richard McDonald is a recently retired IBM Distinguished Engineer, and Terry Co...

Sep 20 2019
  Data science
Kelleher J., Tierney B.,  The MIT Press, Cambridge, MA, 2018. 280 pp. Type: Book (978-0-262535-43-4)

This is one of those books that explain difficult concepts using plain language. It helps the reader completely understand the complex topics by starting from the basics. It is a must-read book for anyone who wants to know how the future will look...

Oct 29 2018
  Comparative analysis of ellipsoidal methods for distributed data fusion
Bakr M., Lee S.  IMCOM 2018 (Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, Langkawi, Malaysia,  Jan 5-7, 2018) 1-8, 2018. Type: Proceedings

In multisensor systems, the fusion of information from multiple sensors can be done globally or locally in distributed “fusion centers.” The distributed approach has advantages in reliability, fault tolerance, and efficiency, but can b...

Jul 11 2018
  Numbers and computers
Kneusel R.,  Springer Publishing Company, Incorporated, Cham, Switzerland, 2015. 231 pp. Type: Book (978-3-319172-59-0)

When writing software, we need a full, detailed understanding of how computers work with numbers. Inadequate understanding can have dire consequences. In Numbers and computers, Kneusel mentions two egregious examples: the explosion of an Ar...

Feb 24 2016
  Data scientists at work
Gutierrez S.,  Apress, Berkeley, CA, 2014. 364 pp. Type: Book (978-1-430265-98-6)

“Data scientist,” according to reports in the trade press, is the new “hot career.” But defining the skills required for such work is difficult, as the relatively and supposedly new field of data science is still very much ...

Jul 13 2015
  Big-data applications in the government sector
Kim G., Trimi S., Chung J.  Communications of the ACM 57(3): 78-85, 2014. Type: Article

Big data analysis is used in both public and private sectors. This article aims to differentiate between the uses of big data analytics in these sectors....

Jun 2 2014
 
 
 
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