comparison data_mining_theory/4_16.md @ 0:1b00d07674d7

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author Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
date Thu, 18 Apr 2019 16:40:43 +0900
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1 - We can turn data into knowledge
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3
4 - Superviser Algorithm use Labels, detail corpus
5
6 - regression
7 - 回帰
8 - classification
9
10 - Preprocession
11 - 準備
12 - transforming the data
13 - Learning
14 - Evaluation
15 - use test data
16 - Prediction
17 - use unknown data
18
19 # WhyPython?
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21 - Numpy
22 - Pandas
23 - Scikit learn
24
25 # QA
26
27 ## What's feature many learning costs?
28
29 - Could give us example test regression task?
30 - surrary?
31
32 # Chap2
33
34 ## Perceptron Algorith
35 - Classfication algorithm that cased on MCP neuron model
36 - vectors or input and weight
37 - use binary data
38 - w .. wight
39 - x .. vector data
40
41 # calculate
42
43 z = `\sum{w_i*x_i}`
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45
46 # 英語
47 - regression
48 - classification
49 - increasing [増加する]
50 - His artworks are likely to increase in value.
51 - The number of people over the age of 65 increased to nrearly 23 millions in 2011.