Mercurial > hg > Members > anatofuz > note
changeset 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 |
parents | |
children | 53a1a3474044 |
files | TR_W/.Advanced software.png TR_W/4_17.md TR_W/Advanced software.mm data_mining_theory/4_16.md |
diffstat | 4 files changed, 174 insertions(+), 0 deletions(-) [+] |
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--- /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
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--- /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.