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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
Description:
Dive into a comprehensive exploration of cutting-edge Machine Learning concepts in this 53-minute conference talk from NDC Conferences. Demystify complex ML buzzwords and gain a clear understanding of the latest trends in the field, from Reinforcement Learning and AutoML to ML bias, without delving into complex formulas. Learn about passing the Turing test, Isaac Asimov's contributions, and the implications of AI-driven decision-making. Explore topics such as debiasing techniques, model interpretability, and the potential for automated data science. Discover the power of transfer learning, generative adversarial networks (GANs), and their applications in various domains. Delve into deep reinforcement learning, its successes, and real-world applications. Conclude with insights on causality in machine learning and the importance of distinguishing correlation from causation. By the end of this talk, gain a comprehensive overview of the current state of Machine Learning and its future directions. Read more

ML BuzzWords Demystified

NDC Conferences
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