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  1-10 of 7276 results Date Reviewed  
  Bayesian statistics the fun way: understanding statistics and probability with Star Wars, LEGO, and rubber ducks
Kurt W.,  No Starch Press, San Francisco, CA, 2019. 256 pp. Type: Book (978-1-593279-56-1)

My expectations for this book were great in light of its intriguing title, and as far as the writing goes, the author delivers. Technically, however, there are some serious issues that make it unsuitable barring some revisions. Its four parts̵...

Dec 13 2019  
  Deep learning in the IT curriculum
Hoover A., Spryszynski A., Halper M.  SIGITE 2019 (Proceedings of the 20th Annual SIG Conference on Information Technology Education, Tacoma, WA,  Oct 3-5, 2019) 49-54, 2019. Type: Proceedings

Mathematical principles continue to revolutionize and expand the application domains related to artificial neural networks (ANNs), a subfield of machine learning (ML). How should deep learning, a form of ANNs, be effectively incorporated into the ...

Dec 13 2019  
  Integer linear programming in computational and systems biology: an entry-level text and course
Gusfield D.,  Cambridge University Press, New York, NY, 2019. 428 pp. Type: Book (978-1-108421-76-8)

Integer linear programming (ILP) is an optimization method that depends on the satisfaction of a set of linear equality or inequality relationships and has solutions with integer (rather than continuous) values. An important application area of IL...

Dec 2 2019  
  Quantitative intertextuality: analyzing the markers of information reuse
Forstall C., Scheirer W.,  Springer Publishing Company, Incorporated, New York, NY, 2019. 189 pp. Type: Book (978-3-030234-13-3)

Intertextuality is a term used to denote the idea that there are relationships between texts. This includes the conscious modeling of one text on another, allusions to phrases from other texts, and even plagiarism. The goal of this book is to intr...

Nov 26 2019  
  All data are local: thinking critically in a data-driven society
Loukissas Y.,  The MIT Press, Cambridge, MA, 2019. 272 pp. Type: Book (978-0-262039-66-6)

Two important points of general interest can be drawn from this book, although both points require more effort than most readers are willing to make....

Nov 25 2019  
   Decrypting the encryption debate: a framework for decision makers
National Academies of Sciences .,  NATIONAL ACADEMY PRESS, Washington, DC, 2018. 118 pp. Type: Book (978-0-309471-53-4)

Both business and government organizations routinely protect information by encrypting data. Encryption is also used to protect information from the prying eyes of competitors and foreign governments, becoming an important and indispensable tool f...

Nov 22 2019  
   Schedulability analysis of tasks with corunner-dependent execution times
Andersson B., Kim H., de Niz D., Klein M., Rajkumar R., Lehoczky J.  ACM Transactions on Embedded Computing Systems 17(3): 1-29, 2018. Type: Article

Scarce computer memory and processor core resources create crucial challenges to the real-time execution of concurrent software. How should a multicore processor be efficiently programmed to process concurrent software with different execution spe...

Nov 22 2019  
   Contextual visualization
Borland D., Wang W., Gotz D.  IEEE Computer Graphics and Applications 38(6): 17-23, 2018. Type: Article

If users cannot see the breakdown of data hidden behind summaries visualized as charts or pies, they will go to another website to find the information. Unseen information can lead to biased findings presented by summaries. The complexity of data ...

Nov 22 2019  
  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 Gartner’s iconic seq...

Nov 18 2019  
   Data exploration using example-based methods
Lissandrini M., Mottin D., Palpanas T., Velegrakis Y.,  Morgan&Claypool Publishers, San Rafael, CA, 2019. 164 pp. Type: Book (978-1-681734-55-2)

This book provides a comprehensive overview and description of a broad range of search algorithms. Because the authors are experts at example-based searching methods, the book discusses the application of example-based approaches to several applic...

Nov 18 2019  
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