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Intro
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Classroom Contents
ML BuzzWords Demystified
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- 1 Intro
- 2 Passing the Turing test
- 3 Isaac Asimov
- 4 Everything under control, someone's
- 5 Choices made for you
- 6 Devices reflecting stereotypes
- 7 Aggression detected?
- 8 Debiasing by post-processing
- 9 Debiasing by removing features
- 10 Correcting bias before training
- 11 Model Agnostic Interpretation
- 12 Model Interpretability?
- 13 Can data scientist be replaced?
- 14 Framing a project
- 15 Building data pipelines
- 16 Model development
- 17 Automated Machine Learning : Azure ML
- 18 Automated ML future
- 19 Transfer skills and knowledge
- 20 Norwegian Moose Detector
- 21 Transfer Learning: replace prediction unit
- 22 Transfer Learning: freeze other layers
- 23 Pretrained networks
- 24 GAN: Generate the data?
- 25 GAN: Architecture
- 26 GAN applications : data augmentation
- 27 GAN : Image reconstruction
- 28 Image to Image transition
- 29 Al creates modern art
- 30 GAN : Adversarial attacks
- 31 Reward and Punishment
- 32 Feedback from reality
- 33 Deep Reinforcement Learning
- 34 Alpha Go Victory
- 35 Boston Dynamics: back to basics
- 36 Adaptability
- 37 Correlation is not Causation
- 38 Cause-Effect connection
- 39 Causal Learning
