# HG changeset patch
# User Takahiro SHIMIZU <anatofuz@cr.ie.u-ryukyu.ac.jp>
# Date 1555573243 -32400
# Node ID 1b00d07674d740bc883accaf5b606c2668c45edf

add note

diff -r 000000000000 -r 1b00d07674d7 TR_W/.Advanced software.png
Binary file TR_W/.Advanced software.png has changed
diff -r 000000000000 -r 1b00d07674d7 TR_W/4_17.md
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/TR_W/4_17.md	Thu Apr 18 16:40:43 2019 +0900
@@ -0,0 +1,43 @@
+- Reports Types
+    - techinal report : engineering magazine
+    - research report : journals(published regularly)
+
+1. techinal reports 
+    - a
+        - writtern by engineers(techinal reports)
+    - b
+        - writtern by progessional journal(techical articles)
+a) techinal reports can be more difficult to read(words techinal). It is like a text book ( the topics are more new one)
+b) techinal articles are less difficult to read (stories in a magazine...)
+
+2. research reports
+- more difficult , has nevelit, has specific style
+- are more difficults than techinal report(a) or techical articles(b)
+- words are more sientific, follows one formore style (format)
+- giveing a new idea for an old method(please give merit)
+
+++++
+- introduction:  idea of others about topic
+- methods: the method by authors are explained
+- results: explain about using the methods
+++++
+
+
+# formed style
+    - a) introduction
+    - b) methods
+    - c) results
+    - d) conslusion
+    - e) reference
+            (Documentation)
+
+# words
+- reputations
+    - 有名, 評判
+- progress
+- civil
+    - 市民
+    - 国内
+    - 民間の
+- perhaps
+- undoubtedly
diff -r 000000000000 -r 1b00d07674d7 TR_W/Advanced software.mm
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/TR_W/Advanced software.mm	Thu Apr 18 16:40:43 2019 +0900
@@ -0,0 +1,80 @@
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diff -r 000000000000 -r 1b00d07674d7 data_mining_theory/4_16.md
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/data_mining_theory/4_16.md	Thu Apr 18 16:40:43 2019 +0900
@@ -0,0 +1,51 @@
+- We can turn data into knowledge
+
+
+- Superviser Algorithm use Labels, detail corpus
+
+- regression
+    - 回帰
+- classification
+
+- Preprocession
+    - 準備
+    - transforming the data
+- Learning
+- Evaluation
+    - use test data
+- Prediction
+    - use unknown data
+
+# WhyPython?
+
+- Numpy
+- Pandas
+- Scikit learn
+
+# QA
+
+## What's feature many learning costs?
+
+- Could give us example test regression task?
+    - surrary?
+
+# Chap2
+
+## Perceptron Algorith
+- Classfication algorithm that cased on MCP neuron model
+    - vectors or input and weight
+    - use binary data
+- w .. wight
+- x .. vector data
+
+# calculate
+
+z = `\sum{w_i*x_i}`
+
+
+# 英語
+- regression
+- classification
+- increasing [増加する]
+    - His artworks are likely to increase in value.
+    - The number of people over the age of 65 increased to nrearly 23 millions in 2011.