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comparison data_mining_theory/4_16.md @ 0:1b00d07674d7
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author | Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp> |
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date | Thu, 18 Apr 2019 16:40:43 +0900 |
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1 - We can turn data into knowledge | |
2 | |
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? | |
20 | |
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}` | |
44 | |
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. |