stanford-cs-229-machine-learning.zip
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更新日期:2024-08-06
斯坦福cs229课程笔记小抄
资源文件列表(大概)
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stanford-cs-229-machine-learning/
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stanford-cs-229-machine-learning/vi/
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stanford-cs-229-machine-learning/.DS_Store
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stanford-cs-229-machine-learning/LICENSE
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stanford-cs-229-machine-learning/README.md
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stanford-cs-229-machine-learning/pt/
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stanford-cs-229-machine-learning/zh/
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stanford-cs-229-machine-learning/fr/
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stanford-cs-229-machine-learning/en/
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stanford-cs-229-machine-learning/zh/监督学习/
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stanford-cs-229-machine-learning/en/cheatsheet-unsupervised-learning.pdf
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stanford-cs-229-machine-learning/en/refresher-probabilities-statistics.pdf
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stanford-cs-229-machine-learning/fa/cheatsheet-deep-learning.pdf
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资源内容介绍
斯坦福大学著名的cs229机器学习课程可谓无人不知无人不晓,但其丰富庞杂的内容有时候也令人望而却步。资源里整理了全课程中最重要的概念重点,做成了高度凝练的笔记小抄,一方面可以作为学习者的快速复习资料,另一方面也方便那些没有时间深入了解课程但希望快速掌握核心知识点的专业人士。这份笔记小抄涵盖了以下几个方面:基础概念:包括机器学习的定义、分类、以及监督学习、无监督学习、强化学习等基本类型。主要算法:从线性回归、逻辑回归到决策树、随机森林,再到支持向量机和神经网络,每个算法的原理、优缺点和应用场景都进行了简要介绍。模型评估:介绍了交叉验证、偏差-方差权衡、ROC曲线等模型评估方法,帮助学习者理解如何评估和选择模型。优化技术:包括梯度下降、随机梯度下降等优化算法,以及正则化技术在防止过拟合中的应用。特征工程:讨论了特征选择、特征提取和特征构造等关键步骤,以及它们在提高模型性能中的作用。深度学习:特别强调了深度学习的重要性,包括卷积神经网络(CNN)、循环神经网络(RNN)、长短期记忆网络(LSTM)等高级模型。用户评论 (0)
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