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Item type | Location | Call Number | Status | Notes | Date Due |
---|---|---|---|---|---|
Book | AUM Main Library English Collections Hall | 006.312 R961 (Browse Shelf) | Available | invoice 2021/1473 | |
Book | AUM Main Library English Collections Hall | 006.312 R961 (Browse Shelf) | Available | invoice 2021/1473 |
006.312 M933Making sense of data III : | 006.312 R961Mining the social web / | 006.312 R961Mining the social web / | 006.312 R961Mining the social web / | 006.312 V239Python data science handbook : | 006.312 V239Python data science handbook : |
Includes bibliographical references and index
Part 1. A guided tour of the social web. Mining Twitter : exploring trending topics, discovering what people are talking about, and more ; Mining Facebook : analyzing fan pages, examining friendships, and more ; Mining Instagram : computer vision, neural networks, object recognition, and face detection ; Mining LinkedIn : faceting job titles, clustering colleagues, and more ; Mining text files : computing document similarity, extracting collocations, and more ; Mining web pages : using natural language processing to understand human language, summarize blog posts, and more ; Mining mailboxes : analyzing who's talking to whom about what, how often, and more ; Mining GitHub : inspecting software collaboration habits, building interest graphs, and more -- Part II. Twitter cookbook -- Part III. Appendixes. A. Information about this book's virtual machine experience ; B. OAuth primer ; C. Python and Jupyter notebook tips and tricks
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