Free Udemy Academic Courses

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

(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

Learn the essence of "Computer Vision: Models, Learning, and Inference", part 2

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

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

Geometry made easy

(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。

Understand types of numbers, fractions, decimals and percentages for GCSE and IGCSE Maths

Learn essence of "Computer Vision: Models, Learning, and Inference"

Why "is" biology log-normal? Why do some circuits oscillate? See biology from a physical sciences perspective.

Know which are the most Popular / Hardest Math question types on the GMAT and work on your weak areas!

A Sample Course from Introduction to Process Engineering for Feedback and Testing

​Learn to take derivative of functions (trigonometric, exponential, logarithmic & ...) ,Test your knowledge on Quizzes

В рамках проекта Yeni Jurnalist рассказываем об алгоритмах работы, которые помогут повелевать информационными стихиями.

Uncover the functioning of internet voting with an empirically-based course, showcasing unique data on voting in Estonia