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机器学习基础：概念、三要素与评价方法 · AllPath

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机器学习基础：概念、三要素与评价方法

人工智能、机器学习、表示学习与深度学习的关系 → 掌握机器学习基本概念、三要素与评价方法

面向希望打牢机器学习理论基础的读者，按依赖顺序覆盖绪论、机器学习基本概念、三要素、线性回归示例、偏差-方差分解、算法类型、特征表示与评价指标。

机器学习基础：概念、三要素与评价方法

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以《神经网络与深度学习》第2版第一部分为纲，系统建立机器学习的基本概念、三个基本要素、偏差-方差分解与常用评价指标，并能用线性模型完成一次完整的建模与评估。

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机器学习基础：概念、三要素与评价方法
以《神经网络与深度学习》第2版第一部分为纲，系统建立机器学习的基本概念、三个基本要素、偏差-方差分解与常用评价指标，并能用线性模型完成一次完整的建模与评估。