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Artificial Intelligence - How Machines Learn
1.
Artificial Intelligence How Machines
Learn To Understand and Recreate The World Dr. Michael Platzer
2.
3.
Example: Progress in
Image Classification - 1’300’000 images - 1’000 categories
4.
5.
The 3 Drivers
of AI BIG DATA BIG COMPUTE DEEP LEARNING
6.
systems that know based on
rules systems that learn based on data PARADIGM SHIFT
7.
How do these
Machines Learn?
8.
How do these
Humans Learn?
9.
1) we learn
by Observation
10.
2) we learn
by Exploration
11.
3) we learn
by Being Taught
12.
Learning by Being
Taught → Supervised Learning Learning by Observation → Unsupervised learning Learning by Exploration → Reinforcement Learning
13.
Supervised Learning Learning
by Being Taught dog dog cat cat cat catdog dog dog cat
14.
Supervised Learning Learning
by Being Taught
15.
Alaskan Malamute Siberian
Husky Supervised Learning Learning by Being Taught
16.
Unsupervised Learning Learning
by Observation
17.
Unsupervised Learning Learning
by Observation
18.
Unsupervised Learning Learning
by Observation
19.
Unsupervised Learning Learning
by Observation Sushi - Japan + Germany =
20.
Unsupervised Learning Learning
by Observation Sushi - Japan + Germany =
21.
Unsupervised Learning Learning
by Observation
22.
Reinforcement Learning Learning
by Exploration
23.
Reinforcement Learning Learning
by Exploration
24.
So, How do
these machines learn?
25.
y = f(x,
w) single layer layout two layer layout multi layer architectures
26.
cat: 82% dog: 18% This
is a Cat! This is a Cat! This is a Cat! This is a Cat! y = f(x, w)
27.
28.
Generative AI
29.
Synthetic Shakespeare Synthetic
Linux Source Code Generative AI for Synthetic Text → no a-priori assumptions → no feature engineering
30.
highly realistic &
representative synthetic data for testing, development, innovation & collaboration Generative AI for Synthetic Customer Data
31.
Michael Platzer michael.platzer@mostly.ai LinkedIn.com/in/mplatzer
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