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An Introduction to Machine Learning with Web Data

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An Introduction to Machine Learning with Web Data [repost]

An Introduction to Machine Learning with Web Data

HDRips | MP4/AVC, ~1200 kb/s | 1280x720 | Duration: 02:43:22 | English: AAC, 128 kb/s (2 ch) | 1.43 GB

Genre: Development / Programming

Once you've accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. You'll follow several examples through the entire process—from obtaining, cleaning, and exploring data to building a model and interpreting the results.
Examine several real-world analysis solutions, including supervised learning and classification, unsupervised learning and clustering, and building common machine learning applications such as recommendation systems. If you're a developer interested in the math and processes necessary to apply machine learning techniques to web data, this video course is for you.

An Introduction to Machine Learning with Web Data [repost]

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  1. 使用Web数据进行机器学习导论 一旦你通过web程序积累了大量数据,那么那这些数据做什么呢?在这部教程中,bit.ly的首席科学家Hilary Mason会为你讲解如何使用基本的机器学习技术和框架解决分析问题。你将会在学习中的几个案例,了解从获取、清晰以及探索数据开发模型和解释结果的全过程。 检视几个真实的分析解决方案,这包括有监督的学习和分类,无监督的学习和集群,以及开发常用的机器学习英语,如推荐系统。如果你是一名对数学和流程感兴趣的开发者,并且在工作中需要对web数据使用机器学习技术,那么这部教程适用于你。
    wilde(特殊组-翻译)1周前 (11-29)