D is for Digital: What a well-informed person should know by Brian W. Kernighan
By Brian W. Kernighan
This ebook explains how today's computing and communications international operates, from via software program to the web and the net. It contains sufficient aspect for you to know the way those structures paintings, it doesn't matter what your technical history. The social, political and criminal matters that new know-how creates are mentioned in addition, so that you can comprehend the tricky concerns we are facing and savor the tradeoffs that experience to be made to unravel them.
A compact yet certain and thorough clarification of the way desktops and communications structures paintings, for non-technical readers who are looking to larger comprehend the realm they dwell in. an excellent resource for technical readers who wish anything that may support their family and friends find out about electronic structures.
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Extra resources for D is for Digital: What a well-informed person should know about computers and communications
John Wiley & Sons (2011) 14. : What do you mean by Collaborative Learning? Collaborative Learning. In: Cognitive and Computational Approaches, pp. 1–19. Elsevier Science Ltd, Oxford (1999) 15. : CSCL: Theory and practice of an emerging paradigm. Lawrence Erlbaum, Mahwah (1996) 16. : Towards a Better Understanding of Context and Context-Awareness. -W. ) HUC 1999. LNCS, vol. 1707, p. 304. Springer, Heidelberg (1999) 17. : Context Aware Ubiquitous Learning Environments for Peer-to-Peer Collaborative Learning.
5 PCA and MLHL Comparison 32 I. Aliaga et al. As seen in Figure 5, and shown in previous sections, the study based on the use of PCA provides a valid initial classification of the real dataset, but it can certainly be improved by using MLHL. Using MLHL makes it possible to obtain a better visual classification of the internal structure of the dataset as it manages to group the samples that have more in common and thus provide a more refined classification. As seen in previous sections, PCA analysis classifies students into two clusters, each of which contains two sub-clusters On the other hand, while MLHL analysis also classifies the students into two clusters each of these clusters contains four sub-clusters, which greatly improves the ability to refine the classification of students.
Teaching of posterior composite resin restorations in undergraduate dental schools in Ireland and the United Kingdom. European Journal of Dental Education 10, 38–43 (2006) 18. : Survey on the teaching and use in dental schools of resin-based materials for restoring posterior teeth. Int. Dent. J. 61, 12–18 (2011) An Overview of E-Learning in Cloud Computing A. Fern´andez1, D. Peralta2 , F. M. Ben´ıtez2 1 Dept. of Computer Science. es Dept. of Computer Science and Artificial Intelligence, CITIC-UGR (Research Center on Information and Communications Technology).