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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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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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1 - We can turn data into knowledge
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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2
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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3
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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4 - Superviser Algorithm use Labels, detail corpus
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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5
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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6 - regression
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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7 - 回帰
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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8 - classification
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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9
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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10 - Preprocession
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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11 - 準備
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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12 - transforming the data
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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13 - Learning
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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14 - Evaluation
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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15 - use test data
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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16 - Prediction
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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17 - use unknown data
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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18
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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19 # WhyPython?
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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20
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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21 - Numpy
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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22 - Pandas
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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23 - Scikit learn
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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24
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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25 # QA
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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26
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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27 ## What's feature many learning costs?
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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28
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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29 - Could give us example test regression task?
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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30 - surrary?
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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31
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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32 # Chap2
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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33
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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34 ## Perceptron Algorith
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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35 - Classfication algorithm that cased on MCP neuron model
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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36 - vectors or input and weight
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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37 - use binary data
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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38 - w .. wight
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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39 - x .. vector data
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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40
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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41 # calculate
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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42
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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43 z = `\sum{w_i*x_i}`
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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44
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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45
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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46 # 英語
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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47 - regression
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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48 - classification
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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49 - increasing [増加する]
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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50 - His artworks are likely to increase in value.
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Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
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51 - The number of people over the age of 65 increased to nrearly 23 millions in 2011.