人工智能学习路线（学+测）

我的大学

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ACP认证辅导课限时0.01元；大量精品课限时免费

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< 全部学习路线 < 全部学习路线

人工智能学习路线

5 大

学习阶段

30 门

在线课程

22 个

实战案例

424 课时

教学视频

算法原理、框架精讲、机器学习实战、图像识别实战、自然语言处理实战，人工智能技术一站式学习

学前小测验学前小测验

机器学习入门

TensorFlow框架及常用库

机器学习实战

自然语言处理实战

图像识别实战

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学习路线

阶段 1：机器学习入门

3门课程 | 128课时

学习前要求：Python编程基础（Python学习路线），数学基础（线性代数、概率论、数理统计）。
学习后将掌握：机器学习和深度学习的概念，常用的机器学习算法和神经网络算法。

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机器学习概览及常用算法

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13课时

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机器学习算法详解

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79课时

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36课时

开始学习

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阶段 2：TensorFlow框架及常用库

4门课程 | 78课时

学习前要求：Python编程基础，了解常用的机器学习算法原理及实现，一定的英语读能力。
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深度学习框架TensorFlow入门

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24课时

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科学计算库NumPy快速入门

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14课时

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阶段 3：机器学习实战

9门课程 I 94课时

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基于PAI的机器学习实战

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从零构建推荐系统

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阶段 4：自然语言处理实战

7门课程 | 67课时

学习前要求：了解神经网络，了解TensorFlow框架及Python相关库的使用方法。
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阶段 5：图像识别实战

7门课程 I 57课时

学习前要求：了解神经网络，了解TensorFlow框架及Python相关库的使用方法。
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