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  • Lecture 1. AI Opportunity 2021
  • Chapter 1. AI Opportunity. 2021
  • Lecture 2. Probability. (2021)
  • Chapter 2. Probability notebook
  • Lecture 3. Machine Learning (2021)
  • Chapter 3. Machine Learning notebook
  • Lecture 4. Neural Networks (2021)
  • Chapter 4 Neural Networks (notebook)
  • Lecture 5 Convolutional Neural Networks (2021)
  • Chapter 5. Symmetries of CNN (notebook)
  • Lecture 6. Autoencoders and GANs (2021)
  • Chapter 6. Autoencoders and Generative Adversarial Networks (Notebook)
  • Lecture 7. Training with less data. (2021)
  • Chapter 7. Learning with Less Data (notebook)
  • Letcture 8. Time Like Signals, Natural Language Processing and Transformers. (2021)
  • Chapter 8. Timelike signals, NLP and transformers (notebook)
  • Lecture 9. Embedded systems (2021)
  • Chapter 9. Embedded systems (notebook)
  • Lecture 10 Adversarial examples and differential privacy (2021)
  • Chapter 10. Adversarial Examples and Differential Privacy (notebook)
  • Lecture 11. The future of Healthcare. (2021)
  • Chapter 11. Future of health care (Notebook)
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  • Exam - Return by 13.12.2020, 13:00
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ELEC-E873901 - AI in health technologies D, Lecture, 13.9.2021-13.12.2021

This course space end date is set to 13.12.2021   Search Courses: ELEC-E873901

Syllabus
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  3. School of Electrical Engineering
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  5. ELEC-E873901 - AI in health technologies D, Lecture, 13.9.2021-13.12.2021
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  8. Chapter 11. Future of health care (Notebook)

Chapter 11. Future of health care (Notebook)

Completion requirements

This lecture contains extrapolations on what trends would influence the future of healthcare. This content will not be included in the domain of the course exam.

Also, there is a summarizing section of the course content in regards of the exam.

 
C11 TheFutureofHealthCare.nb C11 TheFutureofHealthCare.nb
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