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  5. 機器學習入門：使用Scikit-Learn與TensorFlow

機器學習入門：使用Scikit-Learn與TensorFlow

Author 黃建庭
Publisher 碁峰資訊
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Released
2022/09/30
Language
Traditional Chinese
File format
PDF (10MB), fit in large screen and Pubook
Pages
321
ID
341931
ISBN
9786263243361
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◎從機器學習的基礎知識開始，逐步建構相關的延伸應用。
◎以經典範例搭配步驟化解說，帶領讀者掌握應用的訣竅！

．使用Kaggle網站的資料集，讀者可以透過本書所提供連結或關鍵字搜尋下載。
．使用Pandas與Numpy處理與分析資料。
．以Scikit-Learn實作監督式學習－線性廻歸、邏輯廻歸、決策樹、K-近鄰演算法、支援向量機，以及非監督式學習－K-means分群與階層式分群。
．使用TensorFlow建立神經網路進行運算，實作前向傳播算法與反向傳播算法的運算過程。
．介紹卷積神經網路的概念與運算過程，並使用TensorFlow 建立卷積神經網路進行運算。

Details

Released
2022/09/30
Language
Traditional Chinese
File format
PDF: Fit in large screen
Provide Adobe DRM
Yes
Offer DRM free license
No
ID
341931
ISBN
9786263243361

Buy products firstAnd download app to watch

Details
　　

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