课程分类

课程介绍
课程目录
用户评论
课程介绍
课程目录
用户评论

你将获得

  • 掌握某些知识点
  • 学会某些技巧(或思路)

教学服务

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    1v1专属答疑服务

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    BAT专家面试辅导

讲师介绍

  • 20年IT研发经验。精通PYTHON编程、基于PYTHON的数据挖掘和数据分析、爬虫技术、深度学习。

  • 美国Texas A&M 博士, 曾先后在全球最大安全公司从事爬虫工程师、数 据分析、文本挖掘、机器学习等工作。对数据科学 和人工智能领域有深入研究。

  • 课程详情

    注:该课程为全英文教学,无字幕。
    人工智能,机器学习都离不开数据,没有数据再好的算法,再好的模型也没有用武之地。数据不仅仅你现成数据库,它还包括每天海量剧增的互联网数据。数据获取这门课以多个项目手把手实战将系统讲解通过不同渠道获取数据,包括爬虫技术。
    The modern AI foundation is machine learning and deep learning, machine learning and deep learning are based on data. The mathematic model and algorithms of AI would be useless, unless we have enough corresponded data. 
    Peter Norvig is a super star in AI industry, he has developed many google products with AI. And He says that: We don’t have better algorithms. We just have more data. It conveys that so many cool google products are driven by data. So, you can see how important data is. We will introduce you a various ways of getting data from different sources in this course so that you can have enough data to train your machine learning model or data analyze.

    Objective:students can apply Data harvest and web crawler engineer