Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Best of 2016 Recommended by Editor Recommended by Reviewer Recommended by Reader
Search
These reviews are the most popular with readers.
 
Options: For the last:
 
  1-10 of 13463 results Ranking
  Practical machine learning with Python: a problem-solver’s guide to building real-world intelligent systems
Sarkar D., Bali R., Sharma T.,  Apress, New York, NY, 2018. 530 pp. Type: Book (978-1-484232-06-4)

The book’s title explicitly states its main purpose: to provide a practical problem-solving guide for those who seek to build real-world applications. The book consists of 12 chapters divided into three parts, the first two dealing with fund...

1  
   Attribute-based access control
Hu V., Ferraiolo D., Chandramouli R., Kuhn D.,  Artech House, Inc., Norwood, MA, 2017. 280 pp. Type: Book (978-1-630811-34-1), Reviews: (2 of 2)

In many applications, it becomes a necessity to define who (which user) is allowed to access what (which resource). This is achieved via access control. Several models for access control exist. Attribute-based access control (ABAC) is one of them,...

2  
   Elements of causal inference: foundations and learning algorithms
Peters J., Janzing D., Schölkopf B.,  The MIT Press, Cambridge, MA, 2017. 288 pp. Type: Book (978-0-262037-31-0)

Data-based resolution of uncertainty in science must deal with two largely orthogonal issues: doubt (the degree of belief that one has in a scientific proposition) and ambiguity (one’s understanding of the proposition). (This critical distin...

3  
  Fuzzy graph theory
Mathew S., Mordeson J., Malik D.,  Springer International Publishing, Cham, Switzerland, 2018. 320 pp. Type: Book (978-3-319714-06-6)

Fuzzy graph theory is a recently developed field, and thus many research opportunities exist. This book is a very good and suitable option for readers who wish to either begin or continue their studies in different areas of fuzzy graph theory....

4  
   Computer science: an interdisciplinary approach
Sedgewick R., Wayne K.,  Addison-Wesley Professional, Upper Saddle River, NJ, 2016. 1168 pp. Type: Book (978-0-134076-42-3), Reviews: (2 of 2)

I’ve decided to say here at the beginning that this book is outstanding and that it has my highest recommendation, both for self-study and as a text for undergraduate students who are serious about computing. The book’s content, organi...

5  
   Machine translation
Poibeau T.,  The MIT Press, Cambridge, MA, 2017. 296 pp. Type: Book (978-0-262534-21-5), Reviews: (2 of 2)

This small book (approximately size A5), part of the Massachusetts Institute of Technology (MIT) Press “Essential Knowledge” series, captures the essence of the machine translation (MT) field, from its origins to the present. As opposed...

6  
  Dawn of the new everything: encounters with reality and virtual reality
Lanier J.,  Henry Holt and Co, Inc., New York, NY, 2017. 368 pp. Type: Book (978-1-627794-09-1)

Virtual reality (VR) apps with inexpensive smartphone attachments are widely available today, but what would it have been like to obsess over VR long before it was technologically feasible? It would likely have taken a unique character, and Jaron ...

7  
  Microservices with Azure: build highly maintainable and scalable enterprise-grade apps
Tanasseri N., Rai R.,  Packt Publishing, Birmingham, UK, 2017. 310 pp. Type: Book (978-1-787121-14-0)

This introductory book on microservices and Microsoft Azure Service Fabric will help readers understand good development practices, that is, using proven architectural patterns to address common architectural challenges associated with the microse...

8  
  Complete guide to open source big data stack
Frampton M.,  Apress, New York, NY, 2018. 365 pp. Type: Book (978-1-484221-48-8)

Working with big data requires building up a network of services that allows for its effective use. In the scope of open-source systems, the big data stack is composed of open-source applications for understanding big data. The book’s title ...

9  
  An interdisciplinary introduction to image processing: pixels, numbers, and programs
Tanimoto S.,  The MIT Press, Cambridge, MA, 2012. 534 pp. Type: Book (978-0-262017-16-9)

The title of this book really describes its contents. It is about image processing, which relates to many different disciplines including computer science, mathematics, signal processing, photography, and the arts, as well as many different applic...

10  
 
 
 
Display per page
 
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2018 ThinkLoud, Inc.
Terms of Use
| Privacy Policy