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Algorithms of the Intelligent Web teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you’ll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Pythons scikit-learn. This course guides you through algorithms to capture, store, and structure data streams coming from the web. You’ll explore recommendation engines and dive into classification via statistical algorithms, neural networks, and deep learning.

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Last Updated

December 19, 2020

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Course Description

Working in a hands-on learning environment, led by our Algorithms of the Intelligent Web expert instructor, students will learn about and explore:


· the most important approaches to algorithmic web data analysis, enabling you to create your own machine


· learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors and website logs.


· how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs

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Course Curriculum

    • • The intelligent-algorithm lifecycle 00:00:00
    • • Further examples of intelligent algorithms 00:00:00
    • • Data, structure, bias, and noise 00:00:00

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