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  1-10 of 7497 results Date Reviewed  
  Technical debt in practice
Ernst N., Kazman R., Delange J.,  MIT Press, Boston, MA, 2021. 288 pp. Type: Book (978-0-262542-11-1)

Anyone who has worked on a software project of even moderate size or duration will know that projects tend to accumulate technical debt. However, the exigencies of software development in the real world often mean that little is done to deal with ...

Oct 14 2021  
  Sentiment analysis: mining opinions, sentiments, and emotions (2nd ed.)
Liu B.,  Cambridge University Press, Cambridge, UK, 2020. 448 pp. Type: Book (978-1-108486-37-8)

Mining sentiment and opinions from human-generated reviews is certainly one of the most visible applications of natural language processing ever. It is hard to imagine a successful customer-facing business today that does not care a great deal abo...

Oct 12 2021  
  The type project book
French N., D’Andrade H.,  New Riders, San Francisco, CA, 2021. 277 pp. Type: Book (978-1-368160-45-2), Reviews: (2 of 2)

Typography is concerned with the trade of composing or framing type and printing from it. This unusual book is all about typographic projects, written by two experienced designers: Nigel French and Hugh D’Andrade. The book’s intended a...

Oct 11 2021  
  The type project book
French N., D’Andrade H.,  New Riders, San Francisco, CA, 2021. 277 pp. Type: Book (978-1-368160-45-2), Reviews: (1 of 2)

Typography is concerned with the trade of composing or framing type and printing from it. This unusual book is all about typographic projects, written by two experienced designers: Nigel French and Hugh D’Andrade. The book’s intended a...

Oct 11 2021  
  Mathematics of data science: a computational approach to clustering and classification
Calvetti D., Somersalo E.,  SIAM, Philadelphia, PA, 2020. 189 pp. Type: Book (978-1-611976-36-6)

Mathematics is the foundation of data science techniques. With the democratization of data science, almost anyone has access to easy-to-use tools and platforms to get started with data science applications. However, a serious professional or resea...

Oct 7 2021  
  Readings in formal epistemology: sourcebook
Boensvang H., Rendsvig R., Arl-Costa H., Hendricks V., van Benthem J.,  Springer International Publishing, New York, NY, 2018. 937 pp. Type: Book (978-3-319793-03-0)

The essence of formal epistemology is in developing or formulating models of knowledge using formal tools, including probability, logic, decision theory, and computations. Thus, formal epistemology explains probabilistic models of knowledge and be...

Oct 4 2021  
  Natural language data management and interfaces
Li Y., Rafiei D., Bonifati A.,  Morgan&Claypool Publishers, 2018. 156 pp. Type: Book (978-1-681734-08-8)

Natural languages make infinite use of finite means (for example, grammar and vocabulary). Humans in general have no issue understanding a language as they acquire the nuances in specific contexts and learn how to express themselves. So how is it ...

Sep 29 2021  
  iMapReduce: a distributed computing framework for iterative computation
Zhang Y., Gao Q., Gao L., Wang C.  Journal of Grid Computing 10(1): 47-68, 2020. Type: Article

MapReduce is one of the most popular standard algorithms in distributed processing. This paper contributes to performance improvement in MapReduce, which otherwise performs low on social networking and web-based data due to iterative processing. T...

Sep 28 2021  
  An evaluation of the cost and performance of scientific workflows on Amazon EC2
Juve G., Deelman E., Berriman G., Berman B., Maechling P.  Journal of Grid Computing 10(1): 5-21, 2020. Type: Article

Cloud computing is becoming popular for computing that requires large processing power and massive data volume. The work reported here aims to study scientific workflows on Amazon Elastic Compute Cloud (EC2). The principal goal is to study runtime...

Sep 23 2021  
  Attention models in graphs: a survey
Lee J., Rossi R., Kim S., Ahmed N., Koh E.  ACM Transactions on Knowledge Discovery from Data 13(6): 1-25, 2019. Type: Article

Having spent some time on early attempts to bring together neural networks and symbol-oriented knowledge representation, I am intrigued by the more recent work on deep learning and knowledge graphs. While many of the approaches appear conceptually...

Sep 20 2021  
 
 
 
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