johnsonhsieh.github.io johnsonhsieh.github.io

johnsonhsieh.github.io

讀數一格

把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.

http://johnsonhsieh.github.io/

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讀數一格 | johnsonhsieh.github.io Reviews
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DESCRIPTION
把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.
<META>
KEYWORDS
1 讀數一格
2 archives
3 資料科學
4 資料科學之我見
5 我的觀點是這樣的,任何時代都有資料科學的問題
6 與 農產品改良試驗
7 接著數據分析被應用到工業界中,譬如提高產能與改善良率的統計方法
8 同時,經濟學、社會學、生命科學也開始透過統計方法來描述現象、驗證假說
9 談到data,必須先說明資料如何收集
10 一般來說可以分成top down與bottom up兩種
CONTENT
Page content here
KEYWORDS ON
PAGE
讀數一格,archives,資料科學,資料科學之我見,我的觀點是這樣的,任何時代都有資料科學的問題,與 農產品改良試驗,接著數據分析被應用到工業界中,譬如提高產能與改善良率的統計方法,同時,經濟學、社會學、生命科學也開始透過統計方法來描述現象、驗證假說,談到data,必須先說明資料如何收集,一般來說可以分成top down與bottom up兩種,所謂的 top down係指企業主在資料收集前,有既定的問題想要解答,另一種 bottom up是從既有資料中尋找規則,真的是這樣嗎,其中 dsp團訓班
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讀數一格 | johnsonhsieh.github.io Reviews

https://johnsonhsieh.github.io

把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.

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johnsonhsieh.github.io johnsonhsieh.github.io
1

Archives: 2014/3 | 讀數一格

http://johnsonhsieh.github.io/archives/2014/03

把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.

2

Category: 資料科學 | 讀數一格

http://johnsonhsieh.github.io/categories/資料科學

把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.

3

資料科學之我見 | 讀數一格

http://johnsonhsieh.github.io/2014/03/09/intro-datasci

把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.

4

Tag: dsp | 讀數一格

http://johnsonhsieh.github.io/tags/dsp

把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.

5

Tag: statistics | 讀數一格

http://johnsonhsieh.github.io/tags/statistics

把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.

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讀數一格

把問題收斂,如果企業主想要利用Data來 (無論是Big Data, Middle Data 還是 Small Data) 提升企業的營運,該怎麼做 第一步多半是想找一位精通資料科學的專業人才吧。 而我所參與的 Data Science Program (DSP). 總之,我想要強調的有兩點 1. 現階段的資料科學正處於Big Data的浪潮上,Big的確是當前資料的主要特徵,但是核心主角仍然落在Data上.

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