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ç™½é‡‘é‰±æ¥ Meetup Vol.15 :ã€ŽPythonã§å¦ã¶åŠ¹æžœæ¤œè¨¼å…¥é–€ã€ã®æªãªã¨ã“ã‚ã€ãã®ç†ç”±
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
muddydixon 2024/09/24
presentation

python

abtest

causaleffect
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21.10. Deep Factorization Machines â€” Dive into Deep Learning 1.0.3 documentation
muddydixon 2024/09/10
recommendation

python

neuralnetwork
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LinkedInãŒé–‹ç™ºã—ãŸæ™‚ç³»åˆ—ãƒ¢ãƒ‡ãƒ«â€œGreykiteâ€ã®ç†è«–ã¨å®Ÿè£… - ã±ãã¿ã®éƒ¨å±‹
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muddydixon 2022/11/18
timeseries

prediction

algorithms

machinelearning

model

python

analysis

linkedin

greykite

silverkite
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The Algorithms
What is an Algorithm?An algorithm is a set of rules that takes in one or more inputs, then performs inner calculations and data manipulations and returns an output or a set of outputs. In short, algorithms make life easy. From complex data manipulations and hashes, to simple arithmetic, algorithms follow a set of steps to produce a useful result. One example of an algorithm would be a simple funct
muddydixon 2022/09/26
algorithms

python

r

language

cheatsheet

search

machinelearning

deeplearning

math
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Pythonè¨€èªžã«ã‚ˆã‚‹å®Ÿå‹™ã§ä½¿ãˆã‚‹100+ã®æœ€é©åŒ–å•é¡Œ | opt100
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muddydixon 2021/04/02
python

education

programming

study

math

tutorial
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PyCon JP 2020 ã§ã®ç™ºè¡¨ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚ GitHub: https://github.com/taishi-i/toiro/tree/master/PyConJP2020
muddydixon 2020/08/28
mecab ãŒç„¡åŒã ã£ãŸ

presentation

nlp

parser

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python

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This project is abandoned â€” Abandoned project 1.0 documentation
This project is abandonedÂ¶ The project that was previously hosted at this URL has been removed from Read the Docs. We recommend searching on the web to see if it has a new home.
muddydixon 2020/08/12
opencv

video

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python

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è‡ªä½œã—ãŸãƒ†ãƒ‹ã‚¹ã®ãƒ“ãƒ‡ã‚ªåˆ†æžãƒ„ãƒ¼ãƒ«ã§éŒ¦ç¹”ãƒ»ãƒ‡ãƒ«ãƒãƒˆãƒæˆ¦ã‚’åˆ†æžã—ã¦ã¿ã¾ã—ãŸ | DataTennis.NET
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muddydixon 2020/08/11
python

datamining

analytics

video
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Streamlit â€¢ A faster way to build and share data apps
Share your apps with the whole worldPublic apps onlyTotally free-> Log in with GitHub
muddydixon 2020/06/09
python

web

jupyter

text

document

datamining
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Python ã«ã‚ˆã‚‹æ—¥æœ¬èªžè‡ªç„¶è¨€èªžå‡¦ç† ã€œç³»åˆ—ãƒ©ãƒ™ãƒªãƒ³ã‚°ã«ã‚ˆã‚‹å®Ÿä¸–ç•Œãƒ†ã‚ã‚¹ãƒˆåˆ†æžã€œ / PyCon JP 2019
PyCon JP 2019 ã§ã®ç™ºè¡¨ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚ GitHub: https://github.com/taishi-i/nagisa-tutorial-pycon2019
muddydixon 2019/09/16
presentation

nlp

language

morphem

python

nagisa
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2019/04/04ã«é–‹å‚¬ã•ã‚ŒãŸã€ Repro Tech #7 Practical AI Supported by NAVITIME ã§ç™ºè¡¨ã—ãŸè³‡æ–™ã§ã™ã€‚ https://repro-tech.connpass.com/event/124326/
muddydixon 2019/04/04
test

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legacy
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Pythonã®ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸å‘¨ã‚Šã®ãƒ™ã‚¹ãƒˆãƒ—ãƒ©ã‚¯ãƒ†ã‚£ã‚¹ã‚’ç†è§£ã™ã‚‹ - ã‚¨ãƒ ã‚¹ãƒªãƒ¼ãƒ†ãƒƒã‚¯ãƒ–ãƒã‚°
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muddydixon 2019/01/21
python

pip

module

package

install
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Macã§python3ã§Google Cloud Speech gRPC API ã‚’ä½¿ã£ã¦ã‚¹ãƒˆãƒªãƒ¼ãƒ éŸ³å£°èªè˜ã‚’ã™ã‚‹ï¼ - Qiita
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muddydixon 2018/12/06
audio

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Beyond Interactive: Notebook Innovation at Netflix
By Michelle Ufford, M Pacer, Matthew Seal, and Kyle Kelley Notebooks have rapidly grown in popularity among data scientists to become the de facto standard for quick prototyping and exploratory analysis. At Netflix, weâ€™re pushing the boundaries even further, reimagining what a notebook can be, who can use it, and what they can do with it. And weâ€™re making big investments to help make this vision a
muddydixon 2018/09/05
[[datascience]

netflix

jupyter

python

analytics
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LL2018 LT Pythonãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ãƒžãƒãƒ¼ã‚¸ãƒ£ãƒ¼ã¯ã©ã‚ŒãŒãŠã™ã™ã‚ï¼Ÿ
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muddydixon 2018/08/27
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PyTorch (1) ãƒªãƒ³ã‚¯é›† - äººå·¥çŸ¥èƒ½ã«é–¢ã™ã‚‹æ–å‰µéŒ²
ä»Šå¹´ã®ç›®æ¨™ï¼ˆ2018/1/1ï¼‰ã§å®£è¨€ã—ãŸã¨ãŠã‚Šä»Šå¹´ã¯PyTorchã‚’ä½¿ãˆã‚‹ã‚ˆã†ã«ã—ã¦ã„ã“ã†ã¨æ€ã£ã¦ã¾ã™ï¼ ã“ã“ã«PyTorchã®ãƒªã‚½ãƒ¼ã‚¹ã‚’ã¾ã¨ã‚ã‚‹äºˆå®šã§ã™ã€‚ä¸€æ°—ã«è¿½åŠ ã™ã‚‹ã¨åŽæ‹¾ã¤ã‹ãªã„ãŸã‚å†…å®¹ã‚’åŸå‘³ã—ã¦ã‹ã‚‰è¿½åŠ ã—ã¦ã“ã†ã¨æ€ã„ã¾ã™ã€‚å¤–éƒ¨ãƒªãƒ³ã‚¯é›†ã®2ã¤ã®ã‚µã‚¤ãƒˆã¯PyTorchã«é–¢ã™ã‚‹ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã‚„è«–æ–‡ã®å†ç¾å®Ÿè£…ãªã©å¤§é‡ã®ãƒªã‚½ãƒ¼ã‚¹ãŒã¾ã¨ã¾ã£ã¦ã„ã¦ã¨ã¦ã‚‚ãŠã™ã™ã‚ã§ã™ã€‚ã‚ã¨å…¬å¼ã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã¯ã¨ã¦ã‚‚ã—ã£ã‹ã‚Šæ›¸ã‹ã‚Œã¦ã„ã¦å‹‰å¼·ã«ãªã‚Šã¾ã™ã€‚ã“ã¡ã‚‰ã‚‚ãŠã™ã™ã‚ã€‚ PyTorch - æœ¬å®¶ PyTorch Forums - æœ¬å®¶ãƒ•ã‚©ãƒ¼ãƒ©ãƒ PyTorch Official Tutorials - æœ¬å®¶ã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ« PyTorch Official Examples - ã•ã¾ã–ã¾ãªå®Ÿè£…ä¾‹ å¤–éƒ¨ãƒªãƒ³ã‚¯é›† The Incredible Pytorch - ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã‹ã‚‰å„ç¨®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®å®Ÿè£…ã¾ã§å¤§é‡ã«ç´¹ä»‹
muddydixon 2018/01/29
python

deeplearning

torch
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Pythonã®__init__ãªã‚“ã¦èªã‚€ã®å•é¡Œ - Qiita
Pythonã®__init__ã“ã‚Œãªã‚“ã¦èªã‚€ã®ã‹ã¨æ€ã£ã¦ãŸã‚‰ã€"dunder init"ã¨èªã‚€ã‚‰ã—ã„ã§ã™ã€‚ python wikiã«æ›¸ã„ã¦ã‚ã‚‹ã“ã¨ã‚’æŠœç²‹ã™ã‚‹ã¨ã€ ã¨ã‚ã‚‹ã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒãƒˆä¸Šã®ãƒ•ã‚©ãƒ¼ãƒ©ãƒ ã«ã¦Mark Jacksonã¨è¨€ã†äººãŒä»¥ä¸‹ã®ã‚ˆã†ã«ææ¡ˆã—ãŸã®ãŒç™ºç«¯ã‚‰ã—ã„ã§ã™ã€‚ An awkward thing about programming in Python: there are lots of double underscores. My probl em with the double underscore is that it's hard to say. How do you pronounce __init__? "underscore underscore init underscore underscore"? "under under init under under"?
muddydixon 2018/01/22
python

pronunciation

syntax
ãƒªãƒ³ã‚¯
Cloud Dataflow(Python)ã§XGBoostã‚’å‹•ã‹ã™ - Qiita
å‰å›žã®è¨˜äº‹ã«å¼•ãç¶šãCloud Dataflowã§æ©Ÿæ¢°å¦ç¿’ãƒ‘ã‚¤ãƒ—ãƒ©ã‚¤ãƒ³ã‚’å‹•ã‹ã™æ‰‹é †ã®å‚™å¿˜éŒ²ã€‚ ã‚„ã‚ŠãŸã„ã“ã¨ å‰å›žã¯Cloud Dataflowã§ä½¿ã‚ã‚Œã‚‹ãƒŽãƒ¼ãƒ‰ã«ãƒ—ãƒªã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚Œã¦ã„ãŸscikit-learnã¨pandasã‚’ä½¿ã£ã¦æ©Ÿæ¢°å¦ç¿’ã‚’è¡Œã„ã¾ã—ãŸãŒã€å®Ÿéš›ã®æ©Ÿæ¢°å¦ç¿’ã®ãƒ‘ã‚¤ãƒ—ãƒ©ã‚¤ãƒ³ã§ã¯OpenCVãªã©å‰å‡¦ç†åŠ å·¥ã™ã‚‹ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’å…¥ã‚ŒãŸã‚Šã€å¥½ããªæ©Ÿæ¢°å¦ç¿’ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ã¦åˆ†æžã—ã¦ã¿ãŸããªã‚‹ã¨æ€ã„ã¾ã™ã€‚ ä»Šå›žã¯Cloud Dataflowã¸ã®ä»»æ„ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ‰‹é †ã®ä¾‹ã¨ã—ã¦Kaggleã§ã‚‚äººæ°—ã®XGBoostã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ã¦å‹•ã‹ã™æ–¹æ³•ã‚’æ›¸ã„ã¦ã„ããŸã„ã¨æ€ã„ã¾ã™ã€‚ Dataflowã¸ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ‰‹æ®µ Cloud Dataflow(Python)ã§å¥½ããªãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹æ‰‹æ®µã¨ã—ã¦ã¯å…¬å¼ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã«ã‚ã‚‹ã¨ãŠã‚Šã€å¤§ããä»¥ä¸‹3ã¤ã®æ‰‹æ®µãŒã‚ã‚‹ã‚ˆã†ã§ã™ã€‚ P
muddydixon 2018/01/11
dataflow

python

library

pip
ãƒªãƒ³ã‚¯
ã–ã£ã¨ã‚ã‹ã‚‹Pythonã®ç´¹ä»‹ - ã¯ã“ã¹ã«ã£ã â™¨
æ™®æ®µPerlã‚’æ›¸ã„ã¦ã„ã‚‹è‡ªåˆ†ãŒã–ã£ãã‚ŠPythonã«ã¤ã„ã¦èª¿ã¹ã¦ç™ºè¡¨ã—ãŸæ™‚ã®è³‡æ–™ãŒæ‰‹å…ƒã«è»¢ãŒã£ã¦ã„ãŸã®ã§ã€ã›ã£ã‹ããªã®ã§å…¬é–‹ã—ãŸã€‚ æ™®æ®µã€åˆ¥ã®è¨€èªžã§Webé–‹ç™ºã—ã¦ã„ã‚‹äººãŒã€è‡ªåˆ†ã®è¨€èªžã®ã‚¢ãƒ¬ã¯Pythonã ã¨ã‚³ãƒ¬ãªã®ãã£ã¦é›°å›²æ°—ã‚ã‹ã‚‹ã‚ˆã†ã«ãªã£ã¦ã„ã‚‹ã¨ã„ã„ãªã¨æ€ã£ã¦ä½œã£ãŸã‘ã©ã€è¦‹è¿”ã™ã¨ãã†ã§ã‚‚ãªã„æ°—ãŒã™ã‚‹ã€‚ è‡ªåˆ†ã‚‚Pythonåˆå¿ƒè€…ãªã®ã§ã€ã€ŒãŠã„ãŠã„ã¾ã£ãŸãã¾ã¡ãŒã£ã¦ã„ã‚‹ãœ! ã€ã¨ã„ã£ãŸã“ã¨ãŒã‚ã£ãŸã‚‰æ•™ãˆã¦ã»ã—ã„ã§ã™ã€‚äº¬éƒ½ã«ä½ã‚“ã§ã„ã‚‹ã®ã ã‘ã©ã€é–¢è¥¿ã®Pythonã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã®é›°å›²æ°—ã‚‚ã‚ˆãçŸ¥ã‚‰ãªã„ã®ã§æƒ…å ±å‹Ÿé›†ã§ã™ã€‚ ã‚ã¨è³‡æ–™ã§ç´¹ä»‹ã—ã¦ã„ã‚‹ãƒ–ãƒã‚°ã®ã‚³ãƒ¼ãƒ‰ã¯ä»¥ä¸‹ã«ãŠã„ã¦ã‚ã‚‹ã€‚è‡ªåˆ†ãŒã‚ˆãã‚„ã‚‹æ„Ÿã˜ã®è–„ã„è¨è¨ˆã§ã‹ã‚“ãŸã‚“ãªãƒ–ãƒã‚°ã‚·ã‚¹ãƒ†ãƒ ã‚’Pythonã§æ›¸ã„ãŸã‚‰ã“ã‚“ãªæ„Ÿã˜ã‹ãªï½žã£ã¦ã‚³ãƒ¼ãƒ‰ã«ãªã£ã¦ã„ã‚‹ã€‚ github.com
muddydixon 2017/11/04
presentation

python

tutorial
ãƒªãƒ³ã‚¯
ãƒ‡ãƒ¼ã‚¿ã‚’ã€Œé£¼ã„ãªã‚‰ã—ãŸã„ã€äººã®ãŸã‚ã®ã€ŒPythonã§ã¯ã˜ã‚ã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ©ãƒ³ã‚°ãƒªãƒ³ã‚°ã€ï¼ˆæ›¸è©•ï¼‰ - Lean Baseball
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muddydixon 2017/10/31
python

data

maeshorist

preprocessing

book
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