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Overfitting - regularization - Cross validation - Machine learning
1.
R&D – VNG
19 Sep 2017
2.
Statistical learning
Bias – variance Tradeoff Overfitting Regularization Validation 1
3.
2
4.
Theory of
generalization Vapnik-Chervonenkid 3 ℙ 𝑬𝒊𝒏(𝒈 − 𝑬 𝒐𝒖𝒕(𝒈 > 𝓔 ≤ 𝟒𝒎 𝓗 𝟐𝑵 − 𝟏 𝟖 𝜺 𝟐 𝑵
5.
4 Central limit
theorem
6.
5 The Gauss
Markov Theorem:
7.
Statistical learning
Bias – variance Tradeoff Overfitting Regularization Validation 6
8.
7
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8
10.
9
11.
10
12.
Statistical learning
Bias – variance Tradeoff Overfitting Regularization Validation 11
13.
12
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13
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14
16.
Statistical learning
Bias – variance Tradeoff Overfitting Regularization Validation 15
17.
16
18.
17 SOFT CONSTRAINT
19.
18 Heuristics - Weight decay -
Different layer get different weight - Tikhonov regulerizer
20.
19 Practical rule Idea
21.
20
22.
21
23.
Statistical learning
Bias – variance Tradeoff Overfitting Regularization Validation 22
24.
23
25.
24
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25 OPTIMISTICS BIAS
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