corpus.blog
41554 blogs · [ { "id": "01a0875e-b6b4-724f-b83b-e943adf7dfd4", "title": "mecab-python3を捨ててnatto-pyにしよう", "url": "https://chezo.uno/post/2019-11-29-mecab-python3/", "published_at": "2019-11-29T05:58:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943ae9fe494", "title": "ストレートネック向け最近の枕事情", "url": "https://chezo.uno/post/2019-11-26-pillow/", "published_at": "2019-11-26T11:17:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943aefcb0b3", "title": "How to release Python package from GitHub Actions", "url": "https://chezo.uno/blog/2019-11-26_how-to-release-python-package-from-github-actions-d5a1d8edba6e/", "published_at": "2019-11-25T16:42:11+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943af317523", "title": "GitHub ActionsでIssue templateに従っていないissueをcloseする", "url": "https://chezo.uno/post/2019-11-25-github-actions-issue-template/", "published_at": "2019-11-25T08:52:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943afd7747a", "title": "GitHub ActionsでAPI tokenを使ってPyPIへリリースする", "url": "https://chezo.uno/post/2019-11-25-github-actions-api-token-pypi-release/", "published_at": "2019-11-25T07:59:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b00541bd", "title": "digdagのworkflowをCIでrun throughする", "url": "https://chezo.uno/post/2019-11-18-digdag-ci/", "published_at": "2019-11-17T16:38:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b0921573", "title": "150 successful Machine Learning models: 6 lessons learned at Booking.comのメモ", "url": "https://chezo.uno/post/2019-11-17-150-successful-machine-learning-models-6-lessons/", "published_at": "2019-11-16T21:15:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b0febb75", "title": "spaCyとGiNZAでマストドンのトレンドワード抽出をしてみた", "url": "https://chezo.uno/post/2019-11-17-spacy-ginza/", "published_at": "2019-11-16T15:24:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b1967067", "title": "NotionのページをCloudflareでsub domainに転送する", "url": "https://chezo.uno/post/2019-11-16-notion-cloudflare-sub-domain/", "published_at": "2019-11-16T14:50:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b2739d1f", "title": "Pythonのdigdagクライアントtdworkflowを作った", "url": "https://chezo.uno/post/2019-11-16-tdworkflow/", "published_at": "2019-11-16T13:14:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b2d8cf14", "title": "How to test a new Docker image for digdag workflow on CircleCI?", "url": "https://chezo.uno/blog/2019-10-06_how-to-test-a-new-docker-image-for-digdag-workflow-on-circleci--c8bb92987877/", "published_at": "2019-10-05T20:17:30+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b2e900ae", "title": "The first conference of Operational Machine Learning: OpML ‘19", "url": "https://chezo.uno/blog/2019-06-04_the-first-conference-of-operational-machine-learning--opml--19-308baad36108/", "published_at": "2019-06-04T04:50:07+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b3bf5bf2", "title": "『n月刊ラムダノート』創刊記念パーティに登壇しました", "url": "https://chezo.uno/post/2019-06-04_ngekkan-party/", "published_at": "2019-06-04T04:33:18+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b4ba8d1e", "title": "Ruby for Data Science and Machine Learning", "url": "https://chezo.uno/blog/2019-04-24_ruby-for-data-science-and-machine-learning-9f03e99125e0/", "published_at": "2019-04-24T03:10:28+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b5892aad", "title": "MLOpsの歩き方 (Beginners Guide to MLOps)", "url": "https://chezo.uno/publication/beginners-guide-to-mlops/", "published_at": "2019-03-31T15:00:30+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b64df1d6", "title": "「n月刊ラムダノート」の記事の書き方～「MLOpsの歩き方」編", "url": "https://chezo.uno/post/2019-03-29_ngekkan-lambda-note-article/", "published_at": "2019-03-28T19:01:40+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b65bf190", "title": "首や肩に優しい海外出張に便利な道具達", "url": "https://chezo.uno/post/2019-03-10_business-trip-goods/", "published_at": "2019-03-10T00:01:03+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b6cdd8a5", "title": "A recent update of tabula-py", "url": "https://chezo.uno/blog/2019-02-18_a-recent-update-of-tabula-py-a923d2ab667b/", "published_at": "2019-02-17T16:26:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b7537cb0", "title": "あなたの知らない煽りの世界", "url": "https://chezo.uno/post/2018-12-16_dialogues-with-computer-dce83c32e67e/", "published_at": "2018-12-16T06:06:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b8453de0", "title": "Windows 64bitでMeCab(とKyTea)を使う方法 2018", "url": "https://chezo.uno/post/2018-12-01_windows-64bit-mecab--kytea-------2018-b283b6c7b33c/", "published_at": "2018-12-01T04:05:57+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b905777f", "title": "加入しているサブスクリプションサービス 2018", "url": "https://chezo.uno/post/2018-11-14_subscription-2018/", "published_at": "2018-11-14T04:11:53+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943b99469ed", "title": "Thinkpad X1 CarbonとMacBook Proとで使える充電可能なUSB Type-Cのハブを選ぶ", "url": "https://chezo.uno/post/2018-10-28_thinkpad-x1-carbon-macbook-pro----------usb-type-c-------f6d8c8e77b36/", "published_at": "2018-10-28T04:11:26+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943ba5cdf74", "title": "RISECampに参加した", "url": "https://chezo.uno/post/2018-10-25_risecamp------ee65c2ef0c9e/", "published_at": "2018-10-24T23:01:02+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943ba9a5f46", "title": "Treasure Dataに入りました&Plazma tech talkで話しました", "url": "https://chezo.uno/post/2018-10-19_treasure-data-------plazma-tech-talk-------3c901d92e973/", "published_at": "2018-10-18T16:12:26+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943bb244ae8", "title": "Managing Machine Learning workflows on Treasure Data", "url": "https://chezo.uno/events/plazma-td-tech-talk-2018/", "published_at": "2018-10-17T08:32:50+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943bb91f61a", "title": "親も読みたい子供とネットの向き合い方を考える二冊", "url": "https://chezo.uno/post/2018-06-27_internet-for-kids/", "published_at": "2018-06-26T20:55:48+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943bc63850d", "title": "退職します", "url": "https://chezo.uno/post/2018-06-19_goodbye-cloudera/", "published_at": "2018-06-19T00:06:01+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943bd350e25", "title": "機械学習工学研究会キックオフシンポジウムに登壇しました", "url": "https://chezo.uno/post/2018-05-17_mlse-kickoff/", "published_at": "2018-05-17T05:03:57+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943bda0ca63", "title": "Use Markdown document on brand new PyPI", "url": "https://chezo.uno/blog/2018-04-17_use-markdown-document-on-brand-new-pypi-9723024f09c2/", "published_at": "2018-04-17T04:21:33+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943be54d6c3", "title": "新しいPyPIでMarkdownのドキュメントを使う", "url": "https://chezo.uno/post/2018-04-17_---pypi-markdown-----------14e40d90ff3f/", "published_at": "2018-04-17T03:55:15+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943bf4e6089", "title": "「初めての自動テスト」を読んだ", "url": "https://chezo.uno/post/2018-01-17_----------------b63a0763e904/", "published_at": "2018-01-17T03:54:23+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c0305367", "title": "Google Homeはスマートプラグと「部屋」でグルーピングすると便利", "url": "https://chezo.uno/post/2018-01-03_google-home--------------------------17607a9cc2b8/", "published_at": "2018-01-03T01:40:14+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c06a878e", "title": "2017年を振り返って", "url": "https://chezo.uno/post/2017-12-31_2017--------c4901627b12d/", "published_at": "2017-12-31T02:27:50+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c129e618", "title": "2017年に買ってよかったもの", "url": "https://chezo.uno/post/2017-12-30_2017------------bbf834e065c5/", "published_at": "2017-12-30T04:31:43+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c1d21aea", "title": "ワンオペ育児がやってきたヤァ！ヤァ！ヤァ！", "url": "https://chezo.uno/post/2017-12-23_----------------------701333a45696/", "published_at": "2017-12-23T06:01:03+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c223a4c7", "title": "Train, predict, and serve: How to put your machine learning model into production", "url": "https://chezo.uno/events/strata-data-conference-singapore/", "published_at": "2017-12-06T05:45:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c2bb0b9e", "title": "Mykytea", "url": "https://chezo.uno/project/mykytea/", "published_at": "2017-12-01T09:45:52+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c3379236", "title": "オライリーから「仕事ではじめる機械学習」が出版されます", "url": "https://chezo.uno/post/2017-10-20_oreilly-ml-for-business-cf835ff4c128/", "published_at": "2017-10-19T18:19:18+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c433bcf4", "title": "仕事ではじめる機械学習 (Machine Learning at Work)", "url": "https://chezo.uno/publication/machine-learning-for-business/", "published_at": "2017-09-30T15:00:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c4bac283", "title": "PyConJP 2017に参加した", "url": "https://chezo.uno/post/2017-09-09_pyconjp-2017------5fa5f59b9bde/", "published_at": "2017-09-09T03:24:23+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c4de845e", "title": "Python basics: package management", "url": "https://chezo.uno/blog/2017-08-30_python-basics--package-management-462918458f96/", "published_at": "2017-08-30T02:31:15+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c532fba9", "title": "Pythonの環境構築を自分なりに整理してみる", "url": "https://chezo.uno/post/2017-08-26_python------------------dc8d8f2fe989/", "published_at": "2017-08-26T04:58:07+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c5aa8e97", "title": "Why OSS based machine learning is good?", "url": "https://chezo.uno/blog/2017-08-03_why-oss-based-machine-learning-is-good--3ab45a1a5e52/", "published_at": "2017-08-03T03:56:59+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c6a38717", "title": "OSSベースの機械学習が強い理由", "url": "https://chezo.uno/post/2017-08-03_oss--------------48807bbbf13f/", "published_at": "2017-08-02T18:29:59+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c6e5c15f", "title": "How to run Cloudera Director on your macOS/Windows 10", "url": "https://chezo.uno/blog/2017-08-02_how-to-run-cloudera-director-on-your-macos-windows-10-710f82aa1d63/", "published_at": "2017-08-02T03:12:31+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c734eb48", "title": "グローバル企業でコミュニケーションを円滑にするための「異文化理解力」", "url": "https://chezo.uno/post/2017-07-30_culture-map/", "published_at": "2017-07-30T02:45:33+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c8100b26", "title": "Simple way to distribute your private Python packages within your organization", "url": "https://chezo.uno/blog/2017-07-24_simple-way-to-distribute-your-private-python-packages-within-your-organization-fb7af5dbd4c9/", "published_at": "2017-07-23T16:21:40+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c85c8e9e", "title": "Thinkpad X1 Carbon (2017)をWindows 10/Ubuntu 17.04デュアルブートにした", "url": "https://chezo.uno/post/2017-07-10_thinkpad-x1-carbon--2017--windows-10-ubuntu-17-04-----------9f73d89073c3/", "published_at": "2017-07-09T15:11:00+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c8ac4b05", "title": "MBPからThinkpad X1 Carbon(2017)に移行した", "url": "https://chezo.uno/post/2017-07-08_mbp--thinkpad-x1-carbon-2017-------46c374167b79/", "published_at": "2017-07-08T03:14:24+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c91c0a1a", "title": "tabula-py now able to extract remote PDF and multiple tables at once", "url": "https://chezo.uno/blog/2017-05-28_tabula-py-now-able-to-extract-remote-pdf-and-multiple-tables-at-once-6108e24ac07c/", "published_at": "2017-05-28T02:18:39+00:00" }, { "id": "01a0875e-b6b4-724f-b83b-e943c95eefd6", "title": "企業がユーザを守るための学術データ公開", "url": "https://chezo.uno/post/2017-05-26_public-dataset/", "published_at": "2017-05-26T02:17:16+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262a24c88e", "title": "体験したことのない概念を教えるということ", "url": "https://chezo.uno/post/2017-05-25_teach-what-i-dont-know/", "published_at": "2017-05-25T01:07:52+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262b1c38a2", "title": "An easy way to get URL list of your Medium publication", "url": "https://chezo.uno/blog/2017-05-02_an-easy-way-to-get-url-list-of-your-medium-publication-c60c61244101/", "published_at": "2017-05-02T02:01:01+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262b63720b", "title": "Amazonで買ったThinkpad トラックポイント キーボードを修理した", "url": "https://chezo.uno/post/2017-04-19-amazondemai-tutathinkpad-toratukupointo-kibodowoxiu-li-sita/", "published_at": "2017-04-19T18:58:17+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262b756443", "title": "Docker imageを用意してWindows/macOSでスムーズに同人誌を作った話（Sphinx編）", "url": "https://chezo.uno/post/2017-04-08-docker-imagewoyong-yi-sitewindows-slash-macosdesumuzunitong-ren-zhi-wozuo-tutahua-sphinxbian/", "published_at": "2017-04-08T16:47:29+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262bfeaec6", "title": "sparkavro: Manupilate Apache Avro file with sparklyr", "url": "https://chezo.uno/blog/2017-03-26_sparkavro--manupilate-apache-avro-file-with-sparklyr-a53c61eaf0b0/", "published_at": "2017-03-26T12:02:01+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262c886f80", "title": "How to connect secure Impala cluster from RStudio on macOS with implyr", "url": "https://chezo.uno/blog/2017-03-26_how-to-connect-secure-impala-cluster-from-rstudio-on-macos-with-implyr-213c6536e4c7/", "published_at": "2017-03-25T21:35:45+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262cc6ed72", "title": "Visualize your massive data with Impala and Redash", "url": "https://chezo.uno/blog/2017-02-11_visualize-your-massive-data-with-impala-and-redash-afe31133c644/", "published_at": "2017-02-11T05:14:44+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262da8a416", "title": "Indigogo ではじめてバックして来た dot を使って3ヶ月がたった", "url": "https://chezo.uno/post/2017-01-30-indigogo-dehazimetebatukusitelai-ta-dot-woshi-tute3keyue-gatatuta/", "published_at": "2017-01-30T22:02:42+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262ded7140", "title": "また一つ年をとった", "url": "https://chezo.uno/post/2017-01-25-mata-tunian-wototuta/", "published_at": "2017-01-25T12:44:08+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262ea3f352", "title": "Gitlab CIを使ってSphinxのドキュメントを自動でPDFにビルドする", "url": "https://chezo.uno/post/2017-01-23-gitlab-ciwoshi-tutesphinxnodokiyumentowozi-dong-depdfnibirudosuru/", "published_at": "2017-01-23T12:38:35+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262ec22c86", "title": "数式入りのmarkdownをSphinxを使ってhtml/pdfにする", "url": "https://chezo.uno/post/2017-01-22-shu-shi-ru-rinomarkdownwosphinxwoshi-tutehtml-slash-pdfnisuru/", "published_at": "2017-01-22T16:11:24+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262ec5ca25", "title": "macのJIS配列のキーボードをKarabiner使わずにUS配列にする", "url": "https://chezo.uno/post/2017-01-19-macnojispei-lie-nokibodowokarabinershi-wazuniuspei-lie-nisuru/", "published_at": "2017-01-19T22:17:07+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262f0933af", "title": "サイバー攻撃としてのフェイクニュース", "url": "https://chezo.uno/post/2017-01-16_fake-news/", "published_at": "2017-01-16T05:55:32+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05262f4052d5", "title": "tabula-py: Extract table from PDF into Python DataFrame", "url": "https://chezo.uno/blog/2017-01-09_tabula-py--extract-table-from-pdf-into-python-dataframe-6c7acfa5f302/", "published_at": "2017-01-09T05:09:08+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-0526302972e4", "title": "非英語ネイティブにとってのOSSのメンテナンスコスト", "url": "https://chezo.uno/post/2017-01-01-fei-ying-yu-neiteibunitotutenoossnomentenansukosuto/", "published_at": "2017-01-01T23:29:31+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052631183989", "title": "2016年を振り返って", "url": "https://chezo.uno/post/2016-12-31-2016nian-wozhen-rifan-tute/", "published_at": "2016-12-31T16:11:50+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052631c30741", "title": "2016年買ってよかったもの 10選", "url": "https://chezo.uno/post/2016-12-30-2016nian-mai-tuteyokatutamono-10xuan/", "published_at": "2016-12-30T23:27:13+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052631cc8c3f", "title": "Livy & Jupyter Notebook & Sparkmagic = Powerful & Easy Notebook for Data Scientist", "url": "https://chezo.uno/blog/2016-12-30_livy---jupyter-notebook---sparkmagic---powerful---easy-notebook-for-data-scientist-a8b72345ea2d/", "published_at": "2016-12-30T06:15:23+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263271a44e", "title": "今年読んで面白かった漫画 2016年編", "url": "https://chezo.uno/post/2016-12-25-jin-nian-du-ndemian-bai-katutaman-hua-2016nian-bian/", "published_at": "2016-12-25T21:30:04+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052632a05e70", "title": "#eigo と私〜あるいは子持ちの業務外活動の続け方", "url": "https://chezo.uno/post/2016-12-21-number-eigo-tosi-aruihazi-chi-tinoye-wu-wai-huo-dong-nosok-kefang/", "published_at": "2016-12-21T13:00:00+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052632dd59bf", "title": "iPhone 6sのバッテリー交換には電話サポート+エクスプレス交換がオススメ", "url": "https://chezo.uno/post/2016-12-17-iphone-6snobatuterijiao-huan-nihadian-hua-sapoto-plus-ekusupuresujiao-huan-gaosusume/", "published_at": "2016-12-17T19:05:14+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052633474a44", "title": "Rubyで深層学習を使った音声合成Amazon Pollyを使ってWebサイトの読み上げ音声合成してみた", "url": "https://chezo.uno/post/2016-12-01-rubydeshen-ceng-xue-xi-woshi-tutayin-sheng-he-cheng-amazon-pollywoshi-tutewebsaitonodu-mishang-geyin-sheng-he-cheng-sitemita/", "published_at": "2016-12-01T23:10:05+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-0526342ab1a8", "title": "Text-to-speech based on deep learning for Web site using Amazon Polly and Ruby", "url": "https://chezo.uno/blog/2016-12-01_text-to-speech-based-on-deep-learning-for-web-site-using-amazon-polly-and-ruby-adc1923212cb/", "published_at": "2016-12-01T06:00:02+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-0526349c508b", "title": "icloudのカレンダーに来るイベントスパムを避けるための設定変更", "url": "https://chezo.uno/post/2016-11-26-icloudnokarendanilai-ruibentosupamuwobi-kerutamenoshe-ding-bian-geng/", "published_at": "2016-11-26T13:17:55+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052635388210", "title": "Cloudera World Tokyo 2016で機械学習プロダクトの作り方を話しました #cwt2016", "url": "https://chezo.uno/post/2016-11-14-cloudera-world-tokyo-2016deji-jie-xue-xi-purodakutonozuo-rifang-wohua-simasita-number-cwt2016/", "published_at": "2016-11-14T23:05:21+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-0526361df1c4", "title": "homebrewを移動してiRubyが壊れたときに見直すポイント", "url": "https://chezo.uno/post/2016-10-29_homebrew-----iruby---------------6a02e5194ff2/", "published_at": "2016-10-29T04:50:25+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-0526364dfa0b", "title": "RNNLMベースの形態素解析器 JUMAN++ をhomebrewでインストールできるようにした", "url": "https://chezo.uno/post/2016-10-15-rnnlmbesunoxing-tai-su-jie-xi-qi-juman-plus-plus-wohomebrewdeinsutorudekiruyounisita/", "published_at": "2016-10-15T16:20:47+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052636fc57e7", "title": "Building predictive Model with Ibis, Impala and scikit-learn", "url": "https://chezo.uno/blog/2016-10-15_building-predictive-model-with-ibis--impala-and-scikit-learn-356b41f404e0/", "published_at": "2016-10-14T21:10:31+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052637588a2f", "title": "PDFの表をpandasのDataFrameにできる tabula-py 作った", "url": "https://chezo.uno/post/2016-09-11-pdfnobiao-wopandasnodataframenidekiru-tabula-py-zuo-tuta/", "published_at": "2016-09-11T22:19:54+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052637ccced4", "title": "川崎Ruby会議 01を開催しました #kwsk01", "url": "https://chezo.uno/post/2016-08-23-chuan-qi-rubyhui-yi-01wokai-cui-simasita-number-kwsk01/", "published_at": "2016-08-23T22:25:47+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052637eebf23", "title": "「夏真っ盛り！Spark + Python + Data Science祭り」を開催しました＆Ibisを紹介しました #summerDS", "url": "https://chezo.uno/post/2016-07-26-xia-zhen-tusheng-ri-spark-plus-python-plus-data-scienceji-ri-wokai-cui-simasita-and-ibiswoshao-jie-simasita-number-summerds/", "published_at": "2016-07-26T17:27:38+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052638366dd6", "title": "JupyterからSpark clusterを操作できるlivy + sparkmagicを試してみた", "url": "https://chezo.uno/post/2016-07-12-jupyterkaraspark-clusterwocao-zuo-dekirulivy-plus-sparkmagicwoshi-sitemita/", "published_at": "2016-07-12T11:50:00+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263861a5e4", "title": "そのモデル、過学習してるの？未学習なの？と困ったら", "url": "https://chezo.uno/post/2016-05-29-sonomoderu-guo-xue-xi-siteruno-wei-xue-xi-nano-tokun-tutara/", "published_at": "2016-05-29T21:57:39+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-052638c138d9", "title": "機械学習の分類の話を損失関数と決定境界を中心に整理してみた", "url": "https://chezo.uno/post/2016-05-09-ji-jie-xue-xi-nofen-lei-nohua-wosun-shi-guan-shu-tojue-ding-jing-jie-wozhong-xin-nizheng-li-sitemita/", "published_at": "2016-05-09T00:06:39+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-0526393d0a95", "title": "データを一箇所に集めることでデータ活用の民主化が進んだ話", "url": "https://chezo.uno/post/2016-05-05-detawo-ge-suo-niji-merukotodedetahuo-yong-nomin-zhu-hua-gajin-ndahua/", "published_at": "2016-05-05T22:20:46+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263979ad4c", "title": "転職しました", "url": "https://chezo.uno/post/2016-03-30-zhuan-zhi-simasita/", "published_at": "2016-03-30T22:32:21+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263a24f81c", "title": "#CookpadTechConf 2016でクックパッドの研究まわりの取り組みを発表しました", "url": "https://chezo.uno/post/2016-01-25-number-cookpadtechconf-2016dekutukupatudonoyan-jiu-mawarinoqu-rizu-miwofa-biao-simasita/", "published_at": "2016-01-25T00:00:00+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263a65d968", "title": "2015年を振り返って", "url": "https://chezo.uno/post/2015-12-30-2015nian-wozhen-rifan-tute/", "published_at": "2015-12-30T21:41:51+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263ae3e636", "title": "2015年に買ってよかった物まとめ", "url": "https://chezo.uno/post/2015-12-29-2015nian-nimai-tuteyokatutawu-matome/", "published_at": "2015-12-29T20:33:41+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263bcbafbc", "title": "Julia Tokyo #5を開催しました #JuliaTokyo", "url": "https://chezo.uno/post/2015-12-25-julia-tokyo-number-5wokai-cui-simasita-number-juliatokyo/", "published_at": "2015-12-25T21:02:48+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263c51d63e", "title": "Juliaで得られたマイナー言語を盛り上げる方法 #JuliaAC", "url": "https://chezo.uno/post/2015-12-25-juliadede-raretamainayan-yu-wosheng-rishang-gerufang-fa-number-juliaac/", "published_at": "2015-12-25T00:00:00+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263d251e22", "title": "Machine Learning Casual Talks #4 を開催しました #MLCT", "url": "https://chezo.uno/post/2015-12-21-machine-learning-casual-talks-number-4-wokai-cui-simasita-number-mlct/", "published_at": "2015-12-21T13:24:03+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263df74206", "title": "小さい子供が自分から薬を飲みたくなる「おくすり飲めたね」 #childadvent", "url": "https://chezo.uno/post/2015-12-21-xiao-saizi-gong-gazi-fen-karayao-woyin-mitakunaru-okusuriyin-metane-number-childadvent/", "published_at": "2015-12-21T00:00:00+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263e15951e", "title": "Juliaの情報を収集しつづけるには", "url": "https://chezo.uno/post/2015-12-10-julianoqing-bao-woshou-ji-situdukeruniha/", "published_at": "2015-12-10T00:00:00+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263e16e16f", "title": "どんな子供も好きになる、「うーやん」を広めるたった1つの方法", "url": "https://chezo.uno/post/2015-12-06-donnazi-gong-mohao-kininaru-uyan-woguang-merutatuta1tunofang-fa/", "published_at": "2015-12-06T00:00:00+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263e22f332", "title": "SympyとJupyter notebookで数式のメモを取ろう", "url": "https://chezo.uno/post/2015-11-23-sympytojupyter-notebookdeshu-shi-nomemowoqu-rou/", "published_at": "2015-11-23T21:02:07+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263e3e20dc", "title": "IDCFクラウドの500円サーバーでpodcast serverをはじめて8ヶ月が経ちました", "url": "https://chezo.uno/post/2015-11-22-idcfkuraudono500yuan-sabadepodcast-serverwohazimete8keyue-gajing-timasita/", "published_at": "2015-11-22T21:30:37+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263e8c48ba", "title": "TinySegmenter.jlをGoと比較して負けたと思ったら若者が最適化してくれた", "url": "https://chezo.uno/post/2015-11-08-tinysegmenter-dot-jlwogotobi-jiao-sitefu-ketatosi-tutararuo-zhe-gazui-shi-hua-sitekureta/", "published_at": "2015-11-08T19:00:00+00:00" }, { "id": "01a0875e-b6b5-735e-99b4-05263ef2a26f", "title": "Amazon Fire TV Stickを買ったらApple TV+ChromeCast-ちょっとになった", "url": "https://chezo.uno/post/2015-11-02-amazon-fire-tv-stickwomai-tutaraapple-tv-plus-chromecast-tiyotutoninatuta/", "published_at": "2015-11-02T23:42:22+00:00" } ] posts Claim your blog
Back to Democritizing Data
Blog · corpus.blog/blogs/chezo.uno/posts

Democritizing Data

chezo.uno

2019

mecab-python3を捨ててnatto-pyにしようoriginal ↗
29 Nov 2019
ストレートネック向け最近の枕事情original ↗
26 Nov 2019
How to release Python package from GitHub Actionsoriginal ↗
25 Nov 2019
GitHub ActionsでIssue templateに従っていないissueをcloseするoriginal ↗
25 Nov 2019
GitHub ActionsでAPI tokenを使ってPyPIへリリースするoriginal ↗
25 Nov 2019
digdagのworkflowをCIでrun throughするoriginal ↗
17 Nov 2019
150 successful Machine Learning models: 6 lessons learned at Booking.comのメモoriginal ↗
16 Nov 2019
spaCyとGiNZAでマストドンのトレンドワード抽出をしてみたoriginal ↗
16 Nov 2019
NotionのページをCloudflareでsub domainに転送するoriginal ↗
16 Nov 2019
Pythonのdigdagクライアントtdworkflowを作ったoriginal ↗
16 Nov 2019
How to test a new Docker image for digdag workflow on CircleCI?original ↗
5 Oct 2019
The first conference of Operational Machine Learning: OpML ‘19original ↗
4 Jun 2019
『n月刊ラムダノート』創刊記念パーティに登壇しましたoriginal ↗
4 Jun 2019
Ruby for Data Science and Machine Learningoriginal ↗
24 Apr 2019
MLOpsの歩き方 (Beginners Guide to MLOps)original ↗
31 Mar 2019
「n月刊ラムダノート」の記事の書き方～「MLOpsの歩き方」編original ↗
28 Mar 2019
首や肩に優しい海外出張に便利な道具達original ↗
10 Mar 2019
A recent update of tabula-pyoriginal ↗
17 Feb 2019

2018

あなたの知らない煽りの世界original ↗
16 Dec 2018
Windows 64bitでMeCab(とKyTea)を使う方法 2018original ↗
1 Dec 2018
加入しているサブスクリプションサービス 2018original ↗
14 Nov 2018
Thinkpad X1 CarbonとMacBook Proとで使える充電可能なUSB Type-Cのハブを選ぶoriginal ↗
28 Oct 2018
RISECampに参加したoriginal ↗
24 Oct 2018
Treasure Dataに入りました&Plazma tech talkで話しましたoriginal ↗
18 Oct 2018
Managing Machine Learning workflows on Treasure Dataoriginal ↗
17 Oct 2018
親も読みたい子供とネットの向き合い方を考える二冊original ↗
26 Jun 2018
退職しますoriginal ↗
19 Jun 2018
機械学習工学研究会キックオフシンポジウムに登壇しましたoriginal ↗
17 May 2018
Use Markdown document on brand new PyPIoriginal ↗
17 Apr 2018
新しいPyPIでMarkdownのドキュメントを使うoriginal ↗
17 Apr 2018
「初めての自動テスト」を読んだoriginal ↗
17 Jan 2018
Google Homeはスマートプラグと「部屋」でグルーピングすると便利original ↗
3 Jan 2018

2017

2017年を振り返ってoriginal ↗
31 Dec 2017
2017年に買ってよかったものoriginal ↗
30 Dec 2017
ワンオペ育児がやってきたヤァ！ヤァ！ヤァ！original ↗
23 Dec 2017
Train, predict, and serve: How to put your machine learning model into productionoriginal ↗
6 Dec 2017
Mykyteaoriginal ↗
1 Dec 2017
オライリーから「仕事ではじめる機械学習」が出版されますoriginal ↗
19 Oct 2017
仕事ではじめる機械学習 (Machine Learning at Work)original ↗
30 Sept 2017
PyConJP 2017に参加したoriginal ↗
9 Sept 2017
Python basics: package managementoriginal ↗
30 Aug 2017
Pythonの環境構築を自分なりに整理してみるoriginal ↗
26 Aug 2017
Why OSS based machine learning is good?original ↗
3 Aug 2017
OSSベースの機械学習が強い理由original ↗
2 Aug 2017
How to run Cloudera Director on your macOS/Windows 10original ↗
2 Aug 2017
グローバル企業でコミュニケーションを円滑にするための「異文化理解力」original ↗
30 Jul 2017
Simple way to distribute your private Python packages within your organizationoriginal ↗
23 Jul 2017
Thinkpad X1 Carbon (2017)をWindows 10/Ubuntu 17.04デュアルブートにしたoriginal ↗
9 Jul 2017
MBPからThinkpad X1 Carbon(2017)に移行したoriginal ↗
8 Jul 2017
tabula-py now able to extract remote PDF and multiple tables at onceoriginal ↗
28 May 2017
企業がユーザを守るための学術データ公開original ↗
26 May 2017
体験したことのない概念を教えるということoriginal ↗
25 May 2017
An easy way to get URL list of your Medium publicationoriginal ↗
2 May 2017
Amazonで買ったThinkpad トラックポイント キーボードを修理したoriginal ↗
19 Apr 2017
Docker imageを用意してWindows/macOSでスムーズに同人誌を作った話（Sphinx編）original ↗
8 Apr 2017
sparkavro: Manupilate Apache Avro file with sparklyroriginal ↗
26 Mar 2017
How to connect secure Impala cluster from RStudio on macOS with implyroriginal ↗
25 Mar 2017
Visualize your massive data with Impala and Redashoriginal ↗
11 Feb 2017
Indigogo ではじめてバックして来た dot を使って3ヶ月がたったoriginal ↗
30 Jan 2017
また一つ年をとったoriginal ↗
25 Jan 2017
Gitlab CIを使ってSphinxのドキュメントを自動でPDFにビルドするoriginal ↗
23 Jan 2017
数式入りのmarkdownをSphinxを使ってhtml/pdfにするoriginal ↗
22 Jan 2017
macのJIS配列のキーボードをKarabiner使わずにUS配列にするoriginal ↗
19 Jan 2017
サイバー攻撃としてのフェイクニュースoriginal ↗
16 Jan 2017
tabula-py: Extract table from PDF into Python DataFrameoriginal ↗
9 Jan 2017
非英語ネイティブにとってのOSSのメンテナンスコストoriginal ↗
1 Jan 2017

2016

2016年を振り返ってoriginal ↗
31 Dec 2016
2016年買ってよかったもの 10選original ↗
30 Dec 2016
Livy & Jupyter Notebook & Sparkmagic = Powerful & Easy Notebook for Data Scientistoriginal ↗
30 Dec 2016
今年読んで面白かった漫画 2016年編original ↗
25 Dec 2016
#eigo と私〜あるいは子持ちの業務外活動の続け方original ↗
21 Dec 2016
iPhone 6sのバッテリー交換には電話サポート+エクスプレス交換がオススメoriginal ↗
17 Dec 2016
Rubyで深層学習を使った音声合成Amazon Pollyを使ってWebサイトの読み上げ音声合成してみたoriginal ↗
1 Dec 2016
Text-to-speech based on deep learning for Web site using Amazon Polly and Rubyoriginal ↗
1 Dec 2016
icloudのカレンダーに来るイベントスパムを避けるための設定変更original ↗
26 Nov 2016
Cloudera World Tokyo 2016で機械学習プロダクトの作り方を話しました #cwt2016original ↗
14 Nov 2016
homebrewを移動してiRubyが壊れたときに見直すポイントoriginal ↗
29 Oct 2016
RNNLMベースの形態素解析器 JUMAN++ をhomebrewでインストールできるようにしたoriginal ↗
15 Oct 2016
Building predictive Model with Ibis, Impala and scikit-learnoriginal ↗
14 Oct 2016
PDFの表をpandasのDataFrameにできる tabula-py 作ったoriginal ↗
11 Sept 2016
川崎Ruby会議 01を開催しました #kwsk01original ↗
23 Aug 2016
「夏真っ盛り！Spark + Python + Data Science祭り」を開催しました＆Ibisを紹介しました #summerDSoriginal ↗
26 Jul 2016
JupyterからSpark clusterを操作できるlivy + sparkmagicを試してみたoriginal ↗
12 Jul 2016
そのモデル、過学習してるの？未学習なの？と困ったらoriginal ↗
29 May 2016
機械学習の分類の話を損失関数と決定境界を中心に整理してみたoriginal ↗
9 May 2016
データを一箇所に集めることでデータ活用の民主化が進んだ話original ↗
5 May 2016
転職しましたoriginal ↗
30 Mar 2016
#CookpadTechConf 2016でクックパッドの研究まわりの取り組みを発表しましたoriginal ↗
25 Jan 2016

2015

2015年を振り返ってoriginal ↗
30 Dec 2015
2015年に買ってよかった物まとめoriginal ↗
29 Dec 2015
Julia Tokyo #5を開催しました #JuliaTokyooriginal ↗
25 Dec 2015
Juliaで得られたマイナー言語を盛り上げる方法 #JuliaACoriginal ↗
25 Dec 2015
Machine Learning Casual Talks #4 を開催しました #MLCToriginal ↗
21 Dec 2015
小さい子供が自分から薬を飲みたくなる「おくすり飲めたね」 #childadventoriginal ↗
21 Dec 2015
Juliaの情報を収集しつづけるにはoriginal ↗
10 Dec 2015
どんな子供も好きになる、「うーやん」を広めるたった1つの方法original ↗
6 Dec 2015
SympyとJupyter notebookで数式のメモを取ろうoriginal ↗
23 Nov 2015
IDCFクラウドの500円サーバーでpodcast serverをはじめて8ヶ月が経ちましたoriginal ↗
22 Nov 2015
TinySegmenter.jlをGoと比較して負けたと思ったら若者が最適化してくれたoriginal ↗
8 Nov 2015
Amazon Fire TV Stickを買ったらApple TV+ChromeCast-ちょっとになったoriginal ↗
2 Nov 2015
Previous Next