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Organization / Workplace
Taiwan Taiwan
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Business analyst, machine learner
Industry
Entertainment / Sports
About
Specialising in physics and machine learning, I have developed solid skills in problem-solving, critical-thinking, data analysis and information visualisation. To step up a level beyond plain numbers, recently I've been exploring how to blend qualitative approach (shadowing, applied ethnography, etc.) with quantitative data in order to uncover the mechanism and causality behind how everything works.
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gis
open data
data
python
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(34)TDEA 2018 Kafka EOS (Exactly-once)
Erhwen Kuo
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5 years ago
[系列活動] 一天搞懂對話機器人
台灣資料科學年會
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7 years ago
Nikko Ström at AI Frontiers: Deep Learning in Alexa
AI Frontiers
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7 years ago
網路購書大數據– 給出版者的洞察分析
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7 years ago
了解「人」,你才知道怎麼設計!–人們的動機來源
Anna Su
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9 years ago
許懷中/娛樂產業中的資料科學家 : 談資料科學於線上遊戲與職業運動之應用
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徐承原/空間數據分析推動精準新農業
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7 years ago
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Expanding Your Data Center with Hybrid Cloud Infrastructure
Amazon Web Services
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大數據運算媒體業案例分享 (Big Data Compute Case Sharing for Media Industry)
Amazon Web Services
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7 years ago
1. 利用微服務架構建立雲端影音平台 (Building Media Platform by Microservices Architecture)
Amazon Web Services
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7 years ago
Product Market Fit
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7 years ago
RESTful API Design, Second Edition
Apigee | Google Cloud
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12 years ago
資料視覺化之理論、賞析與實作
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Spotify: Data center & Backend buildout
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Paris ML meetup
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Introduction to tag management
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10 years ago
Introduction to tag management webinar
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10 years ago
How to win with tag management
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8 years ago
55 Business Models to Revolutionize your Business by Michaela Csik
jindrichweiss
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Culture
Reed Hastings
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14 years ago
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MapR Technologies
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9 years ago
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Russell Christopher
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Svccg nosql 2011_v4
Sid Anand
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ETL tool evaluation criteria
Asis Mohanty
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•
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台灣資料科學年會
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8 years ago
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GetSmarter
•
9 years ago
Personal Information
Organization / Workplace
Taiwan Taiwan
Occupation
Business analyst, machine learner
Industry
Entertainment / Sports
About
Specialising in physics and machine learning, I have developed solid skills in problem-solving, critical-thinking, data analysis and information visualisation. To step up a level beyond plain numbers, recently I've been exploring how to blend qualitative approach (shadowing, applied ethnography, etc.) with quantitative data in order to uncover the mechanism and causality behind how everything works.
Tags
gis
open data
data
python
See more