Yusuke Saito ysaito8015

## Baseline Data, ML, AI: Challenge Lab.md

      
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                ysaito8015
                / Baseline Data, ML, AI: Challenge Lab.md
            
            
              Created
              May 15, 2020 13:53
            
              
                Task 04 at GSP323 https://google.qwiklabs.com/focuses/11044 version (Lab Last Tested May 13, 2020)
              
          
    Natural language

gcloud iam service-accounts create my-natlang-sa \
  --display-name "my natural language service account"

gcloud iam service-accounts keys create ~/key.json \


## bash.js
<script src="//katacoda.com/embed.js"></script>
<div id="inline-terminal-1" data-katacoda-env="bash" style="height: 500px;"></div>

## file0.txt
$ heroku container:login

## file0.txt
sudo apt-get install docker.io
# systemctl で登録する
sudo systemctl enable docker

## file0.txt
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

## file0.txt
$ go get -u github.com/cosmos72/gomacro
$ gomacro

## x_means.py
"""
以下の論文で提案された改良x-means法の実装

クラスター数を自動決定するk-meansアルゴリズムの拡張について
http://www.rd.dnc.ac.jp/~tunenori/doc/xmeans_euc.pdf
"""

import numpy as np
from scipy import stats
from sklearn.cluster import KMeans

## file0.txt
\begin{aligned}
\vec{y} &\sim \text{Normal}(\vec{\mu},\sigma^2\bf{I})\\
\vec{\mu} &= \bf{X}\vec{\beta}
\end{aligned}

## mamba.jl_tutorial_Bayesian_Linear_Regression_Model.ipynb

      
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                ysaito8015
                / mamba.jl_tutorial_Bayesian_Linear_Regression_Model.ipynb
            
            
              Last active
              January 3, 2018 11:46
            
          
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## file0.txt
make: clang++: Command not found
make: *** [bin/cmdstan/stanc.o] Error 127
	<script src="//katacoda.com/embed.js"></script>
	<div id="inline-terminal-1" data-katacoda-env="bash" style="height: 500px;"></div>
	sudo apt-get install docker.io
	# systemctl で登録する
	sudo systemctl enable docker
	"""
	以下の論文で提案された改良x-means法の実装

	クラスター数を自動決定するk-meansアルゴリズムの拡張について
	http://www.rd.dnc.ac.jp/~tunenori/doc/xmeans_euc.pdf
	"""

	import numpy as np
	from scipy import stats
	from sklearn.cluster import KMeans
	\begin{aligned}
	\vec{y} &\sim \text{Normal}(\vec{\mu},\sigma^2\bf{I})\\
	\vec{\mu} &= \bf{X}\vec{\beta}
	\end{aligned}
	make: clang++: Command not found
	make: *** [bin/cmdstan/stanc.o] Error 127