人工智能学习路线（学+测）

我的大学

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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

【动手实验室】

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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。

一键加入所有课程

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

免费

79课时

开始学习

神经网络基础

免费

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。

一键加入所有课程

深度学习框架TensorFlow入门

免费

24课时

开始学习

科学计算库NumPy快速入门

免费

14课时

开始学习

数据分析库Panda快速入门

免费

22课时

开始学习

数据可视化库Matplotlib快速入门

免费

18课时

开始学习

阶段 3：机器学习实战

9门课程 I 94课时

学习前要求：了解常用机器学习算法、神经网络，了解TensorFlow框架及Python相关库的使用方法。
学习后将掌握：机器学习算法、神经网络的实战应用，阿里云机器学习PAI平台的操作。

基于PAI的机器学习实战

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10课时

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¥ 9.9

15课时

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11课时

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基于随机森林的气温预测

¥ 9.9

14课时

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基于LSTM的文本情感分析

¥ 9.9

7课时

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从零开始卷积神经网络

¥ 9.9

16课时

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RNN时间序列分析

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5课时

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使用lightgbm进行饭店流量预测

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6课时

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使用Word2vec进行文本分类

¥ 9.9

10课时

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阶段 4：自然语言处理实战

7门课程 | 67课时

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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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10课时

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