Democratizing Data

Aki Ariga

Machine Learning Engineer at Arm Treasure Data

Interested in Machine Learning and MLOps, applying those technologies in production.

I am a podcaster of technical podcast rubyist.club.

tabula-py
- Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame
mecab-on-pyspark
- Example code for distributed Python package with conda. This code enables to run C++ and Python code without install dependent packages
TinySegmenter.jl
- Julia implimentation of compact Japanese tokenizer
Mykytea-python, Mykytea-ruby
- Python and Ruby wrapper of KyTea, Japanese morophological analyzer
sparkavro
- Load Avro data into Spark with sparklyr
docker-sphinx-recommonmark
- Docker image for sphinx with recommonmark
cloudera-sparklyr
- Build script and Demo for Cloudera Director with Sparklyr
cdsw-simple-serving-python
- Example project for Cloudera Data Science Workbench
cdsw-serve-docker
- Dockernized for cdsw-simple-serving-python. An API server example for Cloudera Data Science Workbench
homebrew-cloudera
- Homebrew Formulas for cloudera tools
cloudera-parcel
- Cloudera parcel for R
spacyr-sparklyr
- Demo for spaCy on R with Sparklyr

Full code list, see GitHub

ibis-demo
- Demo notebooks of ibis, Python productivity framework for the Apache Hadoop ecosystem.
chezou/notebooks
- tutorial machine learning or data science, written in Japanese

2018-10-17: PLAZMA TD Tech Talk 2018 at Shibuya (Tokyo, Japan)
- Managing Machine Learning workflows on Treasure Data
- Slide
2018-05-17: JSSST MLSE Kickoff symposium (Tokyo, Japan)
- 仕事ではじめる機械学習 (in Japanese)
- Slide
2017-12-06: Starata Data Conference Singapore (Singapore)
- Train, predict, and serve: How to put your machine learning model into production
- Conference page
- Slide
2017-11-07: Cloudera World Tokyo 2017 (Tokyo, Japan)
- 機械学習システムのデプロイパターン (in Japanese)
- Slide
2017-06-27: JSAI SIG-SWO #42 (Tokyo, Japan)
- Invited talk: データサイエンティストからみた統合されたデータ分析基盤の恩恵 (in Japanese)
- Slide
2017-06-27: Data Engineering and Data Analysis Workshop #1 (Tokyo, Japan)
- Cloudera Data Science WorkbenchとPySparkを使って好きなPythonライブラリを分散で使う (in Japanese)
- Slide
2017-02-07: Big Data Analytics Tokyo (Tokyo, Japan)
- A data enginnering and data science platform based on Hadoop/Spark (in Japanese)
- Slide
2016-11-08: Cloudera World Tokyo 2016 (Tokyo, Japan)
- 大規模データに対するデータサイエンスの進め方 (in Japanese)
- Slide

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