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We added 11 new coupon and we deleted 15 expired coupon Today.
22 November 2017.
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本單元正式進入微分學,最重要的是導函數就代表函數切線的斜率若函數是時間的函數就代表瞬間的變化率 導函數就是所謂的微分
358 347
389 369
21 November 2017.
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1. 複習基礎三角函數的觀念,2. 熟練三角函數的特別角與恆等式,3. 三角函數的圖形 4.三角函數的導函數
340 301
21 November 2017.
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1.由反導數說起,到尋找函數之反導數的技巧 2. 學習不同型態的函數,如有理函數的積分技巧 3.萊布尼茲符號
276 296
20 November 2017.
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1.學習相對極大與極小 2.絕對極值 3.近似值 4.相關變率 5.羅必達法則
436 364
20 November 2017.
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(1)各種假設檢定的技巧。(2)迴歸與相關(3)變異數分析(ANOVA)的觀念(4)各種無母數統計分析的方法介紹(5)統計相關延伸
459 408
19 November 2017.
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Learn the essence of "Computer Vision: Models, Learning, and Inference", part 2
727 699
18 November 2017.
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本單元包含下列數學內容,都是學習微積分必要的基礎數學內容。1. 數系及集合的介紹2. 函數的定義:包含合成函數、反函數3. 各種常用的函數:包含高斯函數、絕對值函數4. 二元一次方程式與直線方程式
455 404
18 November 2017.
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極限觀念是在學習微積分前必須要具備的基礎,主要介紹下列1.極限的觀念 Concept of Limit2.極限的求法 Calculating limits using limit Law3.極限的嚴格定義4.單邊極限
457 338
17 November 2017
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Geometry made easy
822 765
16 November 2017.
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(1)在敘述統計部分:如何資料蒐集,資料分類與資料解析。(2)在推論統計部分:您將會了解各種基本機率觀念,各種機率分配,抽樣分配的觀念,學會各種不同估計技巧與假設檢定方法,協助您遇到需進行決策與規劃時做判斷。
545 508
16 November 2017
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Understand types of numbers, fractions, decimals and percentages for GCSE and IGCSE Maths
1081 1023
16 November 2017.
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Learn essence of "Computer Vision: Models, Learning, and Inference"
444 515
15 November 2017.
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Why "is" biology log-normal? Why do some circuits oscillate? See biology from a physical sciences perspective.
1493 1450
12 November 2017
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Know which are the most Popular / Hardest Math question types on the GMAT and work on your weak areas!
1148 1075