Defensive uses of machine learning

Contents

• Introduction Introduction

  • Machine learning and AI for cybersecurity: Introduction

    39s
• 1. Introduction to Machine Learning 1. Introduction to Machine Learning

  • (Locked)
    Learning objectives

    34s
  • (Locked)
    Current status of machine learning for cybersecurity

    4m 41s
  • (Locked)
    Basics of machine learning

    16m 20s
  • (Locked)
    Data mining basics

    3m 20s
• 2. Defensive Uses of Machine Learning 2. Defensive Uses of Machine Learning

  • (Locked)
    Learning objectives

    13s
  • (Locked)
    Defensive uses of machine learning

    26m 16s
  • (Locked)
    Offensive uses of machine learning

    3m 11s
• 3. Basic Machine Learning Programming 3. Basic Machine Learning Programming

  • (Locked)
    Learning objectives

    19s
  • (Locked)
    TensorFlow basics

    13m 40s
  • (Locked)
    More with TensorFlow

    2m 34s
  • (Locked)
    TensorFlow issues

    1m 49s
  • (Locked)
    Neural networks with TensorFlow

    13m 32s
• 4. Large Language Models 4. Large Language Models

  • (Locked)
    Learning objectives

    22s
  • (Locked)
    What are large language models?

    4m 47s
  • (Locked)
    ChatGPT and alternatives

    27m 14s
  • (Locked)
    Deep fakes

    9m 45s
• 5. Cyberwarfare 5. Cyberwarfare

  • (Locked)
    Learning objectives

    17s
  • (Locked)
    Defining cyber warfare

    16m 29s
  • (Locked)
    Weaponized malware

    6m 52s
• 6. More ML Coding 6. More ML Coding

  • (Locked)
    Learning objectives

    13s
  • (Locked)
    Neural network variations

    17m 42s
  • (Locked)
    Clustering algorithms

    17m 10s
• Summary Summary

  • (Locked)
    Machine learning and AI for cybersecurity: Summary

    31s