課程內容包括Python,機械學習,及各種實際運用的實例。本課程將從零基礎開始學習Python語言,了解Python的基本語言,學習Machine Learning的數據處理庫Numpy,Pandas,數據可視化工具庫Matplotlib等。然後,開始了解,Machine Learning 中的Linear Regression,Classification,Clustering,以及對應的演算法,和各種或然率概念。
人工智能是現在最流行和熱門的話題,人才需求也非常巨大,然而,要學習了解這門科學,卻非常困難,原因在於這是一個集中多學科,包括Pyhon語言學習,對應Numpy, Pandas等數據處理,還有數學中,統籌學,或然率概念,方程式等複雜概念。
課程會回歸一個無任何編程經驗的學員角度,一步一步了解實踐這門科學,這將是一個奇妙學習的旅程,希望能與您結伴同行!
編寫第一段python代碼
JupyterNoteBook介紹
Variable變量
變量類型
Print_format
Indexing和Slicing
List列表
Tuple元組
Dictionary字典
set集合
Boolean運算符號
If語句
For 循環
While 循環
循環簡化
Function
多參數與關鍵字參數
Lambda表達式
全局變量&局部變量
Modules And Package
Numpy Array的維度與形狀
向量Vector和矩陣Matrix
Random隨機數
Array Indexing & Slicing
Array的運算
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