Machine Learning and AI in Cybersecurity
ISBN: 9780135369074 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 8m | 648 MB
Instructor: Chuck Easttom
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Introduction
Machine Learning and AI for Cybersecurity: Introduction
Lesson 1: Introduction to Machine Learning
Learning objectives
1.1 Current Status of Machine Learning for Cyber Security
1.2 Basics of Machine Learning
1.3 Data Mining Basics
Lesson 2: Defensive Uses of Machine Learning
Learning objectives
2.1 Defensive Uses of Machine Learning
2.2 Offensive Uses of Machine Learning
Lesson 3: Basic Machine Learning Programming
Learning objectives
3.1 TensorFlow Basics
3.2 More with TensorFlow
3.3 TensorFlow Issues
3.4 Neural Networks with TensorFlow
Lesson 4: Large Language Models
Learning objectives
4.1 What Are Large Language Models?
4.2 ChatGPT and Alternatives
4.3 Deep Fakes
Lesson 5: Cyberwarfare
Learning objectives
5.1 Defining Cyber Warfare
5.2 Weaponized Malware
Lesson 6: More ML Coding
Learning objectives
6.1 Neural Network Variations
6.2 Clustering Algorithms
Summary
Machine Learning and AI for Cybersecurity: Summary
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