Machine Learning and AI in Cybersecurity
Machine Learning and AI in Cybersecurity
ISBN: 9780135369074 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 8m | 648 MB
Instructor: Chuck Easttom
ISBN: 9780135369074 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 8m | 648 MB
Instructor: Chuck Easttom
The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
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
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
Machine Learning and AI in Cybersecurity
