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Machine Learning and AI in Cybersecurity
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Machine Learning and AI in Cybersecurity
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
More Info

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