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ML-For-Beginners/8-Real-World/2-Applications
Jen Looper c5e994fd56
rewording
4 years ago
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translations moving from 'future' to 'real-world' title 4 years ago
README.md rewording 4 years ago
assignment.md moving from 'future' to 'real-world' title 4 years ago

README.md

[Lesson Topic]

Add a sketchnote if possible/appropriate

Embed a video here if available

In this lesson, you will learn about some real-world applications in the field of Machine Learning that are of interest for their innovation. These topics include:

  • Democratization of ML and AI
  • Work in ensuring ethical management of model creation, maintenance and curation
  • No-Code or Low-Code tooling improvements
  • Advances in MLOps
  • Concerns around Security
  • Interesting Applications:
    • Voice applications with NLP
    • Chatbots
    • IoT+ML and Edge Computing with ML
    • Quantum AI
    • Facial recognition applications
    • Next-generation AI/ML: GPT-3

Preparation

Preparatory steps to start this lesson


[Step through content in blocks]

[Topic 1]

Task:

Work together to progressively enhance your codebase to build the project with shared code:

code blocks

Knowledge Check - use this moment to stretch students' knowledge with open questions

[Topic 2]

[Topic 3]

🚀 Challenge: Add a challenge for students to work on collaboratively in class to enhance the project

Optional: add a screenshot of the completed lesson's UI if appropriate

Post-lecture quiz

Review & Self Study

Assignment: Assignment Name