CyberSecurity Summary

998 Episodes

1. Learning Web Design: A Beginner's Guide to HTML, CSS, JavaScript, and Web Graphics

   Published: 7/28/2025
2. Network Basics for Hackers: How Networks Work and How They Break

   Published: 7/27/2025
3. Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition

   Published: 7/27/2025
4. Network Scanning Cookbook: Practical network security using Nmap and Nessus 7

   Published: 7/26/2025
5. Kali Linux: Advanced Methods and Strategies to Learn Kali Linux

   Published: 7/26/2025
6. Network Vulnerability Assessment: Identify security loopholes in your network's infrastructure

   Published: 7/25/2025
7. Neural Network Programming with Java: Create and unleash the power of neural networks by implementing professional Java code

   Published: 7/24/2025
8. Neural Networks and Deep Learning: A Textbook

   Published: 7/24/2025
9. PostgreSQL Server Programming

   Published: 7/23/2025
10. This Is How They Tell Me the World Ends: The Cyberweapons Arms Race

    Published: 7/23/2025
11. Python Data Science: The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning, and Their Application

    Published: 7/22/2025
12. Profiling Hackers: The Science of Criminal Profiling as Applied to the World of Hacking

    Published: 7/22/2025
13. Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python

    Published: 7/21/2025
14. Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights

    Published: 7/21/2025
15. Intrusion Detection Guide

    Published: 7/20/2025
16. How to Hack Like a Ghost: Breaching the Cloud

    Published: 7/20/2025
17. Head First Learn to Code: A Learner's Guide to Coding and Computational Thinking

    Published: 7/19/2025
18. Hands-On Neural Networks with TensorFlow 2.0: Understand TensorFlow, from static graph to eager execution, and design neural networks

    Published: 7/19/2025
19. Hands-On Neuroevolution with Python: Build high-performing artificial neural network architectures using neuroevolution-based algorithms

    Published: 7/18/2025
20. Hands-On Deep Learning with R: A practical guide to designing, building, and improving neural network models using R

    Published: 7/18/2025