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We hope this program will provide you with the tools and knowledge you need to excel in your role and achieve your career goals.

  •  MOSTLY AI overview about Synthetic Data

  • What is synthetic data?

  • Why use synthetic data?

  • Why MOSTLY AI?

    The answers are here.

  •  Responsible AI, Fairness and Explainable AI

  • What is Responsible AI?

  • What are the principles of Responsible AI?

  • How is Responsible AI different to Ethical AI or Trustworthy AI?

  • Why is Responsible AI important? Why now? And for whom?

  • What are the challenges of Responsible AI?

  • How can MOSTLY AI help with RAI?

Find the answers to these questions here.

  •  Privacy - Learn about more about Synthetic Data Privacy in general and MOSTLY AI Synthetic Data Platform Privacy Features in particular /wiki/spaces/MSSI/pages/588480801.

  •  Privacy Enhancing Technologies (PET) here.
  •  General Data Basics here.
  •  General Data Types here.
  •  Everything you always wanted to know about Synthetic Data - A Guest Lecture @ Imperial College London

  •  Learn with the tutorials:

Tutorials

  •  Evaluating synthetic data via Train-Synthetic-Test-Real, i.e. measuring the ML performance of synthetic data.

Video

Colab

  •  The Size vs. Accuracy Trade-Off for synthetic data

Video

Colab

  •  Rebalancing of Synthetic Data

Video

Colab

  •  Conditional Generation, incl. Geo Data

Video

Colab

  •  Explainable AI with Synthetic Data

Video

Colab

  •  Synthetic Text

Video

Colab

  •  Synthetic Multi Tables

Video

Colab

  •  Explainer on Multi Table

Video

  •  Fake vs Real Discriminators

Video

Colab

Celebrate! 🥳 Congratulations for completing this learning path.