Machine-Learning-with-R-Cookbook-master
https://github.com/PacktPublishing/Machine-Learning-with-R-Cookbook
Machine-Learning-with-R-Cookbook-Second-Edition-master
https://github.com/PacktPublishing/Machine-Learning-with-R-Cookbook-Second-Edition
Installing 'RPostgreSQL' ...
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/RPostgreSQL_0.6-2.tar.gz'
Content type 'application/x-tar' length 582198 bytes (568 KB)
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* installing *source* package ‘RPostgreSQL’ ...
** package ‘RPostgreSQL’ successfully unpacked and MD5 sums checked
** using staged installation
checking for gcc... gcc
checking for C compiler default output file name... a.out
checking whether the C compiler works... yes
checking whether we are cross compiling... no
checking for suffix of executables... checking for suffix of object files... o
checking whether we are using the GNU C compiler... yes
checking whether gcc accepts -g... yes
checking for gcc option to accept ISO C89... none needed
checking build system type... x86_64-unknown-linux-gnu
checking host system type... x86_64-unknown-linux-gnu
checking target system type... x86_64-unknown-linux-gnu
checking for pg_config... no
configure: checking for PostgreSQL header files
configure: Checking include /usr/include.
configure: Checking include /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.8.sdk/usr/include.
configure: Checking include /usr/include/pgsql.
configure: Checking include /usr/include/postgresql.
configure: Checking include /usr/local/include.
configure: Checking include /usr/local/include/pgsql.
configure: Checking include /usr/local/include/postgresql.
configure: Checking include /usr/local/pgsql/include.
configure: Checking include /usr/local/postgresql/include.
configure: Checking include /opt/include.
configure: Checking include /opt/include/pgsql.
configure: Checking include /opt/include/postgresql.
configure: Checking include /opt/local/include.
configure: Checking include /opt/local/include/postgresql.
configure: Checking include /sw/include/postgresql.
configure: Checking lib /usr/lib.
configure: Checking lib /usr/lib/pgsql.
configure: Checking lib /usr/lib/postgresql.
configure: Checking lib /usr/local/lib.
configure: Checking lib /usr/local/lib/pgsql.
configure: Checking lib /usr/local/lib/postgresql.
configure: Checking lib /usr/local/pgsql/lib.
configure: Checking lib /usr/local/postgresql/lib.
configure: Checking lib /opt/lib.
configure: Checking lib /opt/lib/pgsql.
configure: Checking lib /opt/lib/postgresql.
configure: Checking lib /opt/local/lib.
configure: Checking lib /opt/local/lib/postgresql.
configure: Checking lib /sw/lib.
configure: Using internal package libpq-fe.h
checking for "src/libpq/libpq-fe.h"... yes
configure: creating ./config.status
config.status: creating src/Makevars
** libs
gcc -I"/usr/local/lib/R/include" -DNDEBUG -Isrc/libpq -I/usr/local/include -fpic -g -O2 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c RS-DBI.c -o RS-DBI.o
gcc -I"/usr/local/lib/R/include" -DNDEBUG -Isrc/libpq -I/usr/local/include -fpic -g -O2 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c RS-PQescape.c -o RS-PQescape.o
In file included from RS-PQescape.c:7:
RS-PostgreSQL.h:23:14: fatal error: libpq-fe.h: No such file or directory
23 | # include "libpq-fe.h"
| ^~~~~~~~~~~~
compilation terminated.
make: *** [/usr/local/lib/R/etc/Makeconf:172: RS-PQescape.o] Error 1
ERROR: compilation failed for package ‘RPostgreSQL’
* removing ‘/usr/local/lib/R/site-library/RPostgreSQL’
The downloaded source packages are in
‘/tmp/RtmphvFqYA/downloaded_packages’
✔ Package 'RPostgreSQL' successfully installed.
Warning message:
In utils::install.packages("RPostgreSQL", repos = "https://packagemanager.rstudio.com/all/__linux__/focal/latest") :
installation of package ‘RPostgreSQL’ had non-zero exit status
> class(x)
[1] "numeric"
** Installing R Packages: 'Amelia', 'corrplot'
[1/3] Installing RcppArmadillo...
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/RcppArmadillo_0.10.4.0.0.tar.gz'
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* installing *binary* package ‘RcppArmadillo’ ...
* DONE (RcppArmadillo)
[2/3] Installing Amelia...
The downloaded source packages are in
‘/tmp/RtmpMDZZhf/downloaded_packages’
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/Amelia_1.7.6.tar.gz'
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[3/3] Installing corrplot...
* installing *binary* package ‘Amelia’ ...
* DONE (Amelia)
The downloaded source packages are in
‘/tmp/RtmpMDZZhf/downloaded_packages’
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/corrplot_0.84.tar.gz'
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* installing *binary* package ‘corrplot’ ...
* DONE (corrplot)
The downloaded source packages are in
‘/tmp/RtmpMDZZhf/downloaded_packages’
✔ Packages successfully installed.
> class(AirPassengers)
[1] "ts"
> data()
> sample(1:10)
[1] 10 2 4 5 3 8 7 1 9 6
> install.packages("car")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
also installing the dependencies ‘backports’, ‘evaluate’, ‘highr’, ‘markdown’, ‘xfun’, ‘matrixStats’, ‘broom’, ‘knitr’, ‘SparseM’, ‘MatrixModels’, ‘conquer’, ‘sp’, ‘minqa’, ‘nloptr’, ‘statmod’, ‘carData’, ‘abind’, ‘pbkrtest’, ‘quantreg’, ‘maptools’, ‘lme4’
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/backports_1.2.1.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/evaluate_0.14.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/highr_0.9.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/markdown_1.1.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/xfun_0.22.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/knitr_1.33.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/SparseM_1.81.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/MatrixModels_0.5-0.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/conquer_1.0.2.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/sp_1.4-5.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/carData_3.0-4.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/abind_1.4-5.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/pbkrtest_0.5.1.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/car_3.0-10.tar.gz'
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* installing *binary* package ‘backports’ ...
* DONE (backports)
* installing *binary* package ‘evaluate’ ...
* DONE (evaluate)
* installing *binary* package ‘xfun’ ...
* DONE (xfun)
* installing *binary* package ‘matrixStats’ ...
* DONE (matrixStats)
* installing *binary* package ‘SparseM’ ...
* DONE (SparseM)
* installing *binary* package ‘MatrixModels’ ...
* DONE (MatrixModels)
* installing *binary* package ‘sp’ ...
* DONE (sp)
* installing *binary* package ‘minqa’ ...
* DONE (minqa)
* installing *binary* package ‘nloptr’ ...
* DONE (nloptr)
* installing *binary* package ‘statmod’ ...
* DONE (statmod)
* installing *binary* package ‘carData’ ...
* DONE (carData)
* installing *binary* package ‘abind’ ...
* DONE (abind)
* installing *binary* package ‘highr’ ...
* DONE (highr)
* installing *binary* package ‘markdown’ ...
* DONE (markdown)
* installing *binary* package ‘broom’ ...
* DONE (broom)
* installing *binary* package ‘conquer’ ...
* DONE (conquer)
* installing *binary* package ‘maptools’ ...
* DONE (maptools)
* installing *binary* package ‘lme4’ ...
* DONE (lme4)
* installing *binary* package ‘knitr’ ...
* DONE (knitr)
* installing *binary* package ‘quantreg’ ...
* DONE (quantreg)
* installing *binary* package ‘pbkrtest’ ...
* DONE (pbkrtest)
* installing *binary* package ‘car’ ...
* DONE (car)
The downloaded source packages are in
‘/tmp/RtmpgixwWH/downloaded_packages’
> library(car)
Loading required package: carData
Attaching package: ‘car’
The following object is masked from ‘package:arules’:
recode
> install.packages("survival")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/survival_3.2-10.tar.gz'
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* installing *binary* package ‘survival’ ...
* DONE (survival)
The downloaded source packages are in
‘/tmp/RtmpgixwWH/downloaded_packages’
> install.packages("C50")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/C50_0.1.3.1.tar.gz'
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* installing *binary* package ‘C50’ ...
* DONE (C50)
The downloaded source packages are in
‘/tmp/RtmpgixwWH/downloaded_packages’
> library(C50)
> library(e1071)
> model =svm(churn~., data = trainset, kernel="radial", cost=1, gamma = 1/ncol(trainset))
Error in eval(expr, p) : object 'trainset' not found
> ind = cut(1:nrow(churnTrain), breaks=10, labels=F)
Error in nrow(churnTrain) : object 'churnTrain' not found
> install.packages("SuperLearner")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
also installing the dependencies ‘caTools’, ‘gplots’, ‘ROCR’, ‘nnls’, ‘cvAUC’
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/caTools_1.18.2.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/gplots_3.1.1.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/ROCR_1.0-11.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/nnls_1.4.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/cvAUC_1.1.0.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/SuperLearner_2.0-26.tar.gz'
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* installing *binary* package ‘caTools’ ...
* DONE (caTools)
* installing *binary* package ‘nnls’ ...
* DONE (nnls)
* installing *binary* package ‘gplots’ ...
* DONE (gplots)
* installing *binary* package ‘ROCR’ ...
* DONE (ROCR)
* installing *binary* package ‘cvAUC’ ...
* DONE (cvAUC)
* installing *binary* package ‘SuperLearner’ ...
* DONE (SuperLearner)
The downloaded source packages are in
‘/tmp/RtmpgixwWH/downloaded_packages’
> install.packages("caret")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/caret_6.0-86.tar.gz'
Content type 'binary/octet-stream' length 6243866 bytes (6.0 MB)
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* installing *binary* package ‘caret’ ...
* DONE (caret)
The downloaded source packages are in
‘/tmp/RtmpgixwWH/downloaded_packages’
> install.packages("glmnet")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
also installing the dependency ‘shape’
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/shape_1.4.5.tar.gz'
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trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/glmnet_4.1-1.tar.gz'
Content type 'binary/octet-stream' length 2000378 bytes (1.9 MB)
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downloaded 1.9 MB
* installing *binary* package ‘shape’ ...
* DONE (shape)
* installing *binary* package ‘glmnet’ ...
* DONE (glmnet)
The downloaded source packages are in
‘/tmp/RtmpgixwWH/downloaded_packages’
> install.packages("xgboost")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/xgboost_1.4.1.1.tar.gz'
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downloaded 15.5 MB
* installing *binary* package ‘xgboost’ ...
* DONE (xgboost)
The downloaded source packages are in
‘/tmp/RtmpgixwWH/downloaded_packages’
> install.packages("randomForest")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/randomForest_4.6-14.tar.gz'
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downloaded 251 KB
* installing *binary* package ‘randomForest’ ...
* DONE (randomForest)
The downloaded source packages are in
‘/tmp/RtmpgixwWH/downloaded_packages’
> library(SuperLearner)
Loading required package: nnls
Super Learner
Version: 2.0-26
Package created on 2019-10-27
> data(Boston, package="MASS")
> training = sample(nrow(Boston), 100)
> X = Boston[training, ]
> X_Hold = Boston[-training, ]
> Y = Boston$medv[training, ]
Error in Boston$medv[training, ] : incorrect number of dimensions
> Y_Hold = Boston$medv[-training, ]
Error in Boston$medv[-training, ] : incorrect number of dimensions
> customer= read.csv('customer.csv', header=TRUE)
Error in file(file, "rt") : cannot open the connection
In addition: Warning message:
In file(file, "rt") :
cannot open file 'customer.csv': No such file or directory
> head(customer)
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'x' in selecting a method for function 'head': object 'customer' not found
>
> library(arules)
Loading required package: Matrix
Attaching package: ‘arules’
The following objects are masked from ‘package:base’:
abbreviate, write
> tr_list = list(c("Apple", "Bread", "Cake"),
+ c("Apple", "Bread", "Milk"),
+ c("Bread", "Cake", "Milk"))
> names(tr_list) = paste("Tr",c(1:3), sep = "")
> trans = as(tr_list, "transactions")
> trans
transactions in sparse format with
3 transactions (rows) and
4 items (columns)
> tr_matrix = matrix(
+ c(1,1,1,0,
+ 1,1,0,1,
+ 0,1,1,1), ncol = 4)
> dimnames(tr_matrix) = list(
+ paste("Tr",c(1:3), sep = ""),
+ c("Apple","Bread","Cake", "Milk")
+ )
> trans2 = as(tr_matrix, "transactions")
> trans2
transactions in sparse format with
3 transactions (rows) and
4 items (columns)
> Tr_df = data.frame(
+ TrID= as.factor(c(1,2,1,1,2,3,2,3,2,3)),
+ Item = as.factor(c("Apple","Milk","Cake","Bread",
+ "Cake","Milk","Apple","Cake","Bread","Bread")))
> trans3 = as(split(Tr_df[,"Item"], Tr_df[,"TrID"]), "trans-actions")
Error in as(split(Tr_df[, "Item"], Tr_df[, "TrID"]), "trans-actions") :
no method or default for coercing “list” to “trans-actions”
> trans3
Error: object 'trans3' not found
<この項は書きかけです。順次追記します。>
This article is not completed. I will add some words and/or centences in order.
Este artículo no está completo. Agregaré algunas palabras en orden.
知人資料
' @kazuo_reve 私が効果を確認した「小川メソッド」
https://qiita.com/kazuo_reve/items/a3ea1d9171deeccc04da
' @kazuo_reve 新人の方によく展開している有益な情報
https://qiita.com/kazuo_reve/items/d1a3f0ee48e24bba38f1
' @kazuo_reve Vモデルについて勘違いしていたと思ったこと
https://qiita.com/kazuo_reve/items/46fddb094563bd9b2e1e
自己記事一覧
Qiitaで逆リンクを表示しなくなったような気がする。時々、スマフォで表示するとあらわることがあり、完全に削除したのではなさそう。2024年4月以降、せっせとリンクリストを作り、統計を取って確率を説明しようとしている。2025年2月末を目標にしていた。
一覧の一覧( The directory of directories of mine.) Qiita(100)
https://qiita.com/kaizen_nagoya/items/7eb0e006543886138f39
views 20,000越え自己記事一覧
https://qiita.com/kaizen_nagoya/items/58e8bd6450957cdecd81
Views1万越え、もうすぐ1万記事一覧 最近いいねをいただいた216記事
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仮説(0)一覧(目標100現在40)
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Qiita(0)Qiita関連記事一覧(自分)
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Coding(0) Rules, C, Secure, MISRA and so on
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Wireshark 一覧 wireshark(0)、Ethernet(48)
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線網(Wi-Fi)空中線(antenna)(0) 記事一覧(118/300目標)
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なぜdockerで機械学習するか 書籍・ソース一覧作成中 (目標100)
https://qiita.com/kaizen_nagoya/items/ddd12477544bf5ba85e2
プログラムちょい替え(0)一覧:4件
https://qiita.com/kaizen_nagoya/items/296d87ef4bfd516bc394
言語処理100本ノックをdockerで。python覚えるのに最適。:10+12
https://qiita.com/kaizen_nagoya/items/7e7eb7c543e0c18438c4
Python(0)記事をまとめたい。
https://qiita.com/kaizen_nagoya/items/088c57d70ab6904ebb53
安全(0)安全工学シンポジウムに向けて: 21
https://qiita.com/kaizen_nagoya/items/c5d78f3def8195cb2409
プログラマによる、プログラマのための、統計(0)と確率のプログラミングとその後
https://qiita.com/kaizen_nagoya/items/6e9897eb641268766909
転職(0)一覧
https://qiita.com/kaizen_nagoya/items/f77520d378d33451d6fe
技術士(0)一覧
https://qiita.com/kaizen_nagoya/items/ce4ccf4eb9c5600b89ea
Reserchmap(0) 一覧
https://qiita.com/kaizen_nagoya/items/506c79e562f406c4257e
物理記事 上位100
https://qiita.com/kaizen_nagoya/items/66e90fe31fbe3facc6ff
量子(0) 計算機, 量子力学
https://qiita.com/kaizen_nagoya/items/1cd954cb0eed92879fd4
数学関連記事100
https://qiita.com/kaizen_nagoya/items/d8dadb49a6397e854c6d
coq(0) 一覧
https://qiita.com/kaizen_nagoya/items/d22f9995cf2173bc3b13
統計(0)一覧
https://qiita.com/kaizen_nagoya/items/80d3b221807e53e88aba
図(0) state, sequence and timing. UML and お絵描き
https://qiita.com/kaizen_nagoya/items/60440a882146aeee9e8f
色(0) 記事100書く切り口
https://qiita.com/kaizen_nagoya/items/22331c0335ed34326b9b
品質一覧
https://qiita.com/kaizen_nagoya/items/2b99b8e9db6d94b2e971
言語・文学記事 100
https://qiita.com/kaizen_nagoya/items/42d58d5ef7fb53c407d6
医工連携関連記事一覧
https://qiita.com/kaizen_nagoya/items/6ab51c12ba51bc260a82
水の資料集(0) 方針と成果
https://qiita.com/kaizen_nagoya/items/f5dbb30087ea732b52aa
自動車 記事 100
https://qiita.com/kaizen_nagoya/items/f7f0b9ab36569ad409c5
通信記事100
https://qiita.com/kaizen_nagoya/items/1d67de5e1cd207b05ef7
日本語(0)一欄
https://qiita.com/kaizen_nagoya/items/7498dcfa3a9ba7fd1e68
英語(0) 一覧
https://qiita.com/kaizen_nagoya/items/680e3f5cbf9430486c7d
音楽 一覧(0)
https://qiita.com/kaizen_nagoya/items/b6e5f42bbfe3bbe40f5d
「@kazuo_reve 新人の方によく展開している有益な情報」確認一覧
https://qiita.com/kaizen_nagoya/items/b9380888d1e5a042646b
鉄道(0)鉄道のシステム考察はてっちゃんがてつだってくれる
https://qiita.com/kaizen_nagoya/items/faa4ea03d91d901a618a
OSEK OS設計の基礎 OSEK(100)
https://qiita.com/kaizen_nagoya/items/7528a22a14242d2d58a3
coding (101) 一覧を作成し始めた。omake:最近のQiitaで表示しない5つの事象
https://qiita.com/kaizen_nagoya/items/20667f09f19598aedb68
官公庁・学校・公的団体(NPOを含む)システムの課題、官(0)
https://qiita.com/kaizen_nagoya/items/04ee6eaf7ec13d3af4c3
「はじめての」シリーズ ベクタージャパン
https://qiita.com/kaizen_nagoya/items/2e41634f6e21a3cf74eb
AUTOSAR(0)Qiita記事一覧, OSEK(75)
https://qiita.com/kaizen_nagoya/items/89c07961b59a8754c869
プログラマが知っていると良い「公序良俗」
https://qiita.com/kaizen_nagoya/items/9fe7c0dfac2fbd77a945
LaTeX(0) 一覧
https://qiita.com/kaizen_nagoya/items/e3f7dafacab58c499792
自動制御、制御工学一覧(0)
https://qiita.com/kaizen_nagoya/items/7767a4e19a6ae1479e6b
Rust(0) 一覧
https://qiita.com/kaizen_nagoya/items/5e8bb080ba6ca0281927
programの本質は計画だ。programは設計だ。
https://qiita.com/kaizen_nagoya/items/c8545a769c246a458c27
登壇直後版 色使い(JIS安全色) Qiita Engineer Festa 2023〜私しか得しないニッチな技術でLT〜 スライド編 0.15
https://qiita.com/kaizen_nagoya/items/f0d3070d839f4f735b2b
プログラマが知っていると良い「公序良俗」
https://qiita.com/kaizen_nagoya/items/9fe7c0dfac2fbd77a945
逆も真:社会人が最初に確かめるとよいこと。OSEK(69)、Ethernet(59)
https://qiita.com/kaizen_nagoya/items/39afe4a728a31b903ddc
統計の嘘。仮説(127)
https://qiita.com/kaizen_nagoya/items/63b48ecf258a3471c51b
自分の言葉だけで論理展開できるのが天才なら、文章の引用だけで論理展開できるのが秀才だ。仮説(136)
https://qiita.com/kaizen_nagoya/items/97cf07b9e24f860624dd
参考文献駆動執筆(references driven writing)・デンソークリエイト編
https://qiita.com/kaizen_nagoya/items/b27b3f58b8bf265a5cd1
「何を」よりも「誰を」。10年後のために今見習いたい人たち
https://qiita.com/kaizen_nagoya/items/8045978b16eb49d572b2
Qiitaの記事に3段階または5段階で到達するための方法
https://qiita.com/kaizen_nagoya/items/6e9298296852325adc5e
出力(output)と呼ばないで。これは状態(state)です。
https://qiita.com/kaizen_nagoya/items/80b8b5913b2748867840
祝休日・謹賀新年 2025年の目標
https://qiita.com/kaizen_nagoya/items/dfa34827932f99c59bbc
Qiita 1年間をまとめた「振り返りページ」@2024
https://qiita.com/kaizen_nagoya/items/ed6be239119c99b15828
2024 参加・主催Calendarと投稿記事一覧 Qiita(248)
https://qiita.com/kaizen_nagoya/items/d80b8fbac2496df7827f
主催Calendar2024分析 Qiita(254)
https://qiita.com/kaizen_nagoya/items/15807336d583076f70bc
Calendar 統計
https://qiita.com/kaizen_nagoya/items/e315558dcea8ee3fe43e
LLM 関連 Calendar 2024
https://qiita.com/kaizen_nagoya/items/c36033cf66862d5496fa
Large Language Model Related Calendar
https://qiita.com/kaizen_nagoya/items/3beb0bc3fb71e3ae6d66
博士論文 Calendar 2024 を開催します。
https://qiita.com/kaizen_nagoya/items/51601357efbcaf1057d0
博士論文(0)関連記事一覧
https://qiita.com/kaizen_nagoya/items/8f223a760e607b705e78
coding (101) 一覧を作成し始めた。omake:最近のQiitaで表示しない5つの事象
https://qiita.com/kaizen_nagoya/items/20667f09f19598aedb68
あなたは「勘違いまとめ」から、勘違いだと言っていることが勘違いだといくつ見つけられますか。人間の間違い(human error(125))の種類と対策
https://qiita.com/kaizen_nagoya/items/ae391b77fffb098b8fb4
プログラマの「プログラムが書ける」思い込みは強みだ。3つの理由。仮説(168)統計と確率(17) , OSEK(79)
https://qiita.com/kaizen_nagoya/items/bc5dd86e414de402ec29
出力(output)と呼ばないで。これは状態(state)です。
https://qiita.com/kaizen_nagoya/items/80b8b5913b2748867840
これからの情報伝達手段の在り方について考えてみよう。炎上と便乗。
https://qiita.com/kaizen_nagoya/items/71a09077ac195214f0db
ISO/IEC JTC1 SC7 Software and System Engineering
https://qiita.com/kaizen_nagoya/items/48b43f0f6976a078d907
アクセシビリティの知見を発信しよう!(再び)
https://qiita.com/kaizen_nagoya/items/03457eb9ee74105ee618
統計論及確率論輪講(再び)
https://qiita.com/kaizen_nagoya/items/590874ccfca988e85ea3
読者の心をグッと惹き寄せる7つの魔法
https://qiita.com/kaizen_nagoya/items/b1b5e89bd5c0a211d862
「@kazuo_reve 新人の方によく展開している有益な情報」確認一覧
https://qiita.com/kaizen_nagoya/items/b9380888d1e5a042646b
ソースコードで議論しよう。日本語で議論するの止めましょう(あるプログラミング技術の議論報告)
https://qiita.com/kaizen_nagoya/items/8b9811c80f3338c6c0b0
脳内コンパイラの3つの危険
https://qiita.com/kaizen_nagoya/items/7025cf2d7bd9f276e382
心理学の本を読むよりはコンパイラ書いた方がよくね。仮説(34)
https://qiita.com/kaizen_nagoya/items/fa715732cc148e48880e
NASAを超えるつもりがあれば読んでください。
https://qiita.com/kaizen_nagoya/items/e81669f9cb53109157f6
データサイエンティストの気づき!「勉強して仕事に役立てない人。大嫌い!!」『それ自分かも?』ってなった!!!
https://qiita.com/kaizen_nagoya/items/d85830d58d8dd7f71d07
「ぼくの好きな先生」「人がやらないことをやれ」プログラマになるまで。仮説(37)
https://qiita.com/kaizen_nagoya/items/53e4bded9fe5f724b3c4
なぜ経済学徒を辞め、計算機屋になったか(経済学部入学前・入学後・卒業後対応) 転職(1)
https://qiita.com/kaizen_nagoya/items/06335a1d24c099733f64
プログラミング言語教育のXYZ。 仮説(52)
https://qiita.com/kaizen_nagoya/items/1950c5810fb5c0b07be4
【24卒向け】9ヶ月後に年収1000万円を目指す。二つの関門と三つの道。
https://qiita.com/kaizen_nagoya/items/fb5bff147193f726ad25
「【25卒向け】Qiita Career Meetup for STUDENT」予習の勧め
https://qiita.com/kaizen_nagoya/items/00eadb8a6e738cb6336f
大学入試不合格でも筆記試験のない大学に入って卒業できる。卒業しなくても博士になれる。
https://qiita.com/kaizen_nagoya/items/74adec99f396d64b5fd5
全世界の不登校の子供たち「博士論文」を書こう。世界子供博士論文遠隔実践中心 安全(99)
https://qiita.com/kaizen_nagoya/items/912d69032c012bcc84f2
日本のプログラマが世界で戦える16分野。仮説(53),統計と確率(25) 転職(32)、Ethernet(58)
https://qiita.com/kaizen_nagoya/items/a7e634a996cdd02bc53b
小川メソッド 覚え(書きかけ)
https://qiita.com/kaizen_nagoya/items/3593d72eca551742df68
DoCAP(ドゥーキャップ)って何ですか?
https://qiita.com/kaizen_nagoya/items/47e0e6509ab792c43327
views 20,000越え自己記事一覧
https://qiita.com/kaizen_nagoya/items/58e8bd6450957cdecd81
Views1万越え、もうすぐ1万記事一覧 最近いいねをいただいた213記事
https://qiita.com/kaizen_nagoya/items/d2b805717a92459ce853
amazon 殿堂入りNo1レビュアになるまで。仮説(102)
https://qiita.com/kaizen_nagoya/items/83259d18921ce75a91f4
100以上いいねをいただいた記事16選
https://qiita.com/kaizen_nagoya/items/f8d958d9084ffbd15d2a
水道局10年(1976,4-1986,3)を振り返る
https://qiita.com/kaizen_nagoya/items/707fcf6fae230dd349bf
小川清最終講義、最終講義(再)計画, Ethernet(100) 英語(100) 安全(100)
https://qiita.com/kaizen_nagoya/items/e2df642e3951e35e6a53
<この記事は個人の過去の経験に基づく個人の感想です。現在所属する組織、業務とは関係がありません。>
This article is an individual impression based on my individual experience. It has nothing to do with the organization or business to which I currently belong.
Este artículo es una impresión personal basada en mi experiencia personal. No tiene nada que ver con la organización o empresa a la que pertenezco actualmente.
文書履歴(document history)
ver. 0.01 初稿 20250518
最後までおよみいただきありがとうございました。
いいね 💚、フォローをお願いします。
Thank you very much for reading to the last sentence.
Please press the like icon 💚 and follow me for your happy life.
Muchas gracias por leer hasta la última oración.
Por favor, haz clic en el ícono Me gusta 💚 y sígueme para tener una vida feliz.