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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
280 234
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
305 265
19 November 2017.
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Learn the essence of "Computer Vision: Models, Learning, and Inference", part 2
625 324
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
286 217
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
262 213
17 November 2017
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Geometry made easy
592 517
16 November 2017
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跟着吃货学化学
166 166
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。
325 236
16 November 2017
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Understand types of numbers, fractions, decimals and percentages for GCSE and IGCSE Maths
734 638
16 November 2017.
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Learn essence of "Computer Vision: Models, Learning, and Inference"
354 410
15 November 2017.
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Why "is" biology log-normal? Why do some circuits oscillate? See biology from a physical sciences perspective.
1029 885
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!
886 794
27 October 2017.
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A Sample Course from Introduction to Process Engineering for Feedback and Testing
1096 949
26 September 2017
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​Learn to take derivative of functions (trigonometric, exponential, logarithmic & ...) ,Test your knowledge on Quizzes
980 876
24 September 2017
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В рамках проекта Yeni Jurnalist рассказываем об алгоритмах работы, которые помогут повелевать информационными стихиями.
323 243