人工智能学习路线（学+测）

我的大学

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掌握API使用，轻松为应用添加强大功能

Clouder专项技能认证：实现调用API接口

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暂不考虑

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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

免费

13课时

开始学习

机器学习算法详解

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79课时

开始学习

神经网络基础

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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。
学习后将掌握：TensorFlow的基本使用，常用的Python科学计算库的使用。

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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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数据分析库Panda快速入门

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22课时

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数据可视化库Matplotlib快速入门

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18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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10课时

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从零构建推荐系统

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15课时

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基于贝叶斯的新闻分类

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阶段 4：自然语言处理实战

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阶段 5：图像识别实战

7门课程 I 57课时

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