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Mastering machine learning with scikit-learn : apply effective learning algorithms to real-world problems using scikit-learn
- 作者: Hackeling, Gavin, author.
- 其他題名:
- Community experience distilled.
- 出版: Birmingham, UK : Packt Publishing Ltd.
- 叢書名: Community experience distilled.
- 主題: Machine learning , Python (Computer program language)
- ISBN: 9781783988365 (pbk.): GBP23.23 、 1783988363 (pbk.)
- 資料類型: 圖書
- 內容註: The fundamentals of machine learning -- Linear regression -- Feature extraction and preprocessing -- From linear regression to logistic regression -- Nonlinear classification and regression with decision trees -- Clustering with K-means -- Dimensionality reduction with PCA -- The perceptron -- From the perceptron to support vector machines -- From the perceptron to artificial neural networks. Includes index.
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讀者標籤:
- 系統號: 005138412 | 機讀編目格式
館藏資訊
If you are a software developer who wants to learn how machine learning models work and how to apply them effectively, this book is for you. Familiarity with machine learning fundamentals and Python will be helpful, but is not essential.
資料來源:
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