Machine-Learning-with-R-Cookbook-Second-Edition-master:dockerで機械学習(78) with R (8)

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)
==================================================
downloaded 568 KB

* 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'
Content type 'binary/octet-stream' length 2250399 bytes (2.1 MB)
==================================================
downloaded 2.1 MB

* 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'
Content type 'binary/octet-stream' length 2452068 bytes (2.3 MB)
==================================================
downloaded 2.3 MB

[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'
Content type 'binary/octet-stream' length 5447375 bytes (5.2 MB)
==================================================
downloaded 5.2 MB

* 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'
Content type 'binary/octet-stream' length 88661 bytes (86 KB)
==================================================
downloaded 86 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/evaluate_0.14.tar.gz'
Content type 'binary/octet-stream' length 74200 bytes (72 KB)
==================================================
downloaded 72 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/highr_0.9.tar.gz'
Content type 'binary/octet-stream' length 38825 bytes (37 KB)
==================================================
downloaded 37 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/markdown_1.1.tar.gz'
Content type 'binary/octet-stream' length 230388 bytes (224 KB)
==================================================
downloaded 224 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/xfun_0.22.tar.gz'
Content type 'binary/octet-stream' length 310406 bytes (303 KB)
==================================================
downloaded 303 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/matrixStats_0.58.0.tar.gz'
Content type 'binary/octet-stream' length 2539233 bytes (2.4 MB)
==================================================
downloaded 2.4 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/broom_0.7.6.tar.gz'
Content type 'binary/octet-stream' length 1748118 bytes (1.7 MB)
==================================================
downloaded 1.7 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/knitr_1.33.tar.gz'
Content type 'binary/octet-stream' length 1401372 bytes (1.3 MB)
==================================================
downloaded 1.3 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/SparseM_1.81.tar.gz'
Content type 'binary/octet-stream' length 1099766 bytes (1.0 MB)
==================================================
downloaded 1.0 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/MatrixModels_0.5-0.tar.gz'
Content type 'binary/octet-stream' length 448997 bytes (438 KB)
==================================================
downloaded 438 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/conquer_1.0.2.tar.gz'
Content type 'binary/octet-stream' length 1295108 bytes (1.2 MB)
==================================================
downloaded 1.2 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/sp_1.4-5.tar.gz'
Content type 'binary/octet-stream' length 1855713 bytes (1.8 MB)
==================================================
downloaded 1.8 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/minqa_1.2.4.tar.gz'
Content type 'binary/octet-stream' length 479131 bytes (467 KB)
==================================================
downloaded 467 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/nloptr_1.2.2.2.tar.gz'
Content type 'binary/octet-stream' length 1154405 bytes (1.1 MB)
==================================================
downloaded 1.1 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/statmod_1.4.35.tar.gz'
Content type 'binary/octet-stream' length 270979 bytes (264 KB)
==================================================
downloaded 264 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/carData_3.0-4.tar.gz'
Content type 'binary/octet-stream' length 1817389 bytes (1.7 MB)
==================================================
downloaded 1.7 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/abind_1.4-5.tar.gz'
Content type 'binary/octet-stream' length 60511 bytes (59 KB)
==================================================
downloaded 59 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/pbkrtest_0.5.1.tar.gz'
Content type 'binary/octet-stream' length 351839 bytes (343 KB)
==================================================
downloaded 343 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/quantreg_5.85.tar.gz'
Content type 'binary/octet-stream' length 1641360 bytes (1.6 MB)
==================================================
downloaded 1.6 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/maptools_1.1-1.tar.gz'
Content type 'binary/octet-stream' length 2206488 bytes (2.1 MB)
==================================================
downloaded 2.1 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/lme4_1.1-26.tar.gz'
Content type 'binary/octet-stream' length 9211344 bytes (8.8 MB)
==================================================
downloaded 8.8 MB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/car_3.0-10.tar.gz'
Content type 'binary/octet-stream' length 1555669 bytes (1.5 MB)
==================================================
downloaded 1.5 MB

* 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'
Content type 'binary/octet-stream' length 6798373 bytes (6.5 MB)
==================================================
downloaded 6.5 MB

* 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'
Content type 'binary/octet-stream' length 604693 bytes (590 KB)
==================================================
downloaded 590 KB

* 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'
Content type 'binary/octet-stream' length 247686 bytes (241 KB)
==================================================
downloaded 241 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/gplots_3.1.1.tar.gz'
Content type 'binary/octet-stream' length 595163 bytes (581 KB)
==================================================
downloaded 581 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/ROCR_1.0-11.tar.gz'
Content type 'binary/octet-stream' length 453521 bytes (442 KB)
==================================================
downloaded 442 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/nnls_1.4.tar.gz'
Content type 'binary/octet-stream' length 40062 bytes (39 KB)
==================================================
downloaded 39 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/cvAUC_1.1.0.tar.gz'
Content type 'binary/octet-stream' length 123484 bytes (120 KB)
==================================================
downloaded 120 KB

trying URL 'https://packagemanager.rstudio.com/all/__linux__/focal/latest/src/contrib/SuperLearner_2.0-26.tar.gz'
Content type 'binary/octet-stream' length 589292 bytes (575 KB)
==================================================
downloaded 575 KB

* 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)
==================================================
downloaded 6.0 MB

* 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'
Content type 'binary/octet-stream' length 784267 bytes (765 KB)
==================================================
downloaded 765 KB

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)
==================================================
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'
Content type 'binary/octet-stream' length 16247624 bytes (15.5 MB)
==================================================
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'
Content type 'binary/octet-stream' length 257439 bytes (251 KB)
==================================================
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
https://qiita.com/kaizen_nagoya/items/d2b805717a92459ce853

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https://qiita.com/kaizen_nagoya/items/8720d26f762369a80514

Coding(0) Rules, C, Secure, MISRA and so on
https://qiita.com/kaizen_nagoya/items/400725644a8a0e90fbb0

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https://qiita.com/kaizen_nagoya/items/88d35e99f74aefc98794

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https://qiita.com/kaizen_nagoya/items/fbed841f61875c4731d0

線網（Wi-Fi）空中線(antenna)(0) 記事一覧(118/300目標)
https://qiita.com/kaizen_nagoya/items/5e5464ac2b24bd4cd001

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.