A high-level overview of networking, data science and computer security. Designed for readers who don't care for academic formalities, it's a fast and easy guide. It teaches the foundations programmers and knowledge workers need to maximize their effectiveness. It explains how the Internet works from the ground up, how to analyse and derive knowledge from data, and how computers are able to predict the future with machine learning.
Author(s): Wladston Ferreira Filho, Moto Pictet
Publisher: Code Energy
Year: 2021
Language: English
Pages: 268
City: Las Vegas
Tags: #networking, #datascience #computersecurity
PREFACE
1 CONNECTIONS
1.1 Links
1.2 Internet
1.3 IP Addressing
1.4 IP Routing
1.5 Transport
2 COMMUNICATION
2.1 Names
2.2 Time
2.3 Access
2.4 Mail
2.5 Web
3 SECURITY
3.1 Legacy
3.2 Symmetry
3.3 Asymmetry
3.4 Hashing
3.5 Protocols
3.6 Hacking
4 ANALYSIS
4.1 Collection
4.2 Processing
4.3 Summarizing
4.4 Visualization
4.5 Testing
5 LEARNING
5.1 Features
5.2 Evaluation
5.3 Validation
5.4 Fine-Tuning
CONCLUSION
BONUS: PATTERNS
Matching
Quantifiers
Anchors
Groups
APPENDIX
I Numerical Bases
II Cracking the Shift Cipher
III Cracking the Substitution Cipher
IV Evaluating Classifiers