Networking for Beginners: Be Familiar with Computer Network Basics. Learn What a Computer Network is, Why It Matters and How Networking May Raise a Challenge to Machine Learning

Chesterton, Scott

ISBN 10: 1914052102 / ISBN 13: 9781914052101

Edité par Success & Power Management Ltd, 2020

A propos de cet article

150 pages. 9.02x5.98x0.32 inches. In Stock.

N° de réf. du vendeur zk1914052102

Détails bibliographiques

• Titre: Networking for Beginners: Be Familiar with Computer Network Basics. Learn What a Computer Network is, Why It Matters and How Networking May Raise a Challenge to Machine Learning
• Éditeur: Success & Power Management Ltd
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 1914052102
• ISBN à 13 chiffres: 9781914052101
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

Are you going to start a new professional experience, which requires minimum knowledge of computer networking but you have no specific network awareness?  


or Are you simply curious to know how your different electronic devices work together and which technologies are used to make this happen? 
 
Certainly, everyone agrees that the Internet, today, is the most important means of communication, not only for the information you can find on different websites.


Think of the various email, chat and video communication tools, now available with extreme ease but with the same reliability, thanks to the Internet. 


You just need to touch a small button and within a fraction of a second, you can send a message or make a call.  


What lies behind all this? Nothing other than Computer Networks.   


Learning how computers connect together is not necessarily intended only for professionals.  
 
This book is not going to prepare you to receive any formal certification but by reading it  you will no longer be considered as a training novice  in this field and that is for sure.  
 
Networking for beginners  is an easy and complete guide for those beginners willing to know the basics of networking with no high-level paradigms.