"微積分vs 統計學思考等"之學習，都不可偏

Statistics, linear algebra and algorithmic thinking are more valuable in the digital age,大數據Big Data處理的局限 / The Risks of Big Data for Companies: Numbers never speak for themselveshttp://demingcircle.blogspot.tw/2013/03/big-data.html


以W. Edwards Deming 的著作和經歷而言，這兩大類的數學 ----微積分vs 統計學思考等---都不可偏。

The Wall Street Journal

Statistics, linear algebra and algorithmic thinking are more valuable in the digital age, Tianhui Michael Li and Allison Bishop write for WSJ Opinion

 They are becoming vital to the way we think about manufacturing, finance, public health, politics and even journalism.

Calculus Is So Last Century

Tianhui Michael Li and Allison Bishop write about the overemphasis on calculus in high school and college math courses.

WSJ.COM|由 TIANHUI MICHAEL LI AND ALLISON BISHOP 上傳