O’Reilly - Mining the Social Web - Mailboxes

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O’Reilly - Mining the Social Web - Mailboxes
English | Size: 148.91 MB
Category: CBTs

Imagine yourself as a criminal investigator. You've been tasked with searching through thousands of subpoenaed email messages for the purpose of finding evidence of fraud. What tools could you use to do your job? In this course, based on content from Matthew Russell's book, "Mining the Social Web" (O'Reilly Media), you'll learn how to forensically examine large email data sets. Designed for learners with basic Python experience, the course explains the structure of email messages, deciphers the meanings in email metadata, and shows you how to use pandas — Python's data analysis library – to organize, manipulate, and query email data. Bonus: You get to practice your detective skills on an email data set used in a real U.S. criminal investigation (i.e., the 2001 Enron fraud case).
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Author: minhchick | Comment: ( 0 )

O’Reilly - Mining the Social Web - Web Pages

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O’Reilly - Mining the Social Web - Web Pages
English | Size: 327.88 MB
Category: CBTs

How do software programs that automatically extract information from web pages actually work? This video course, based on content from the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, teaches you how to create machines that can navigate the internet, cut through the noise, and extract the most important textual content from any web page or group of web pages. You'll learn how to use Python to write programs that can crawl, scrape, and parse the web; as well as discover how to extract key terms and sentences from web mined documents, explore document summarization techniques used in natural language processing and artificial intelligence, and gain experience using Python’s Natural Language Toolkit (NLTK) to auto-summarize web articles. Learners should have a basic understanding of Python.
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Packt Publishing - Basic Statistics and Data Mining for Data Science

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Packt Publishing - Basic Statistics and Data Mining for Data Science
English | Size: 1.32 GB
Category: CBTs

This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.

Data science is an ever-evolving field, with exponentially growing popularity. Data science includes techniques and theories extracted from the fields of statistics, computer science, and most importantly machine learning, databases, and visualization.
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Mining the Social Web: Mining Instagram

Mining the Social Web: Mining Instagram
Mining the Social Web: Mining Instagram
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 45M | 333 MB
Genre: eLearning | Language: English

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Text Mining Fundamentals

Text Mining Fundamentals

Text Mining Fundamentals
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 199 MB
Genre: eLearning | Language: English

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Coursera - Process Mining Data Science in Action (2018)

Coursera - Process Mining Data Science in Action (2018)

Coursera - Process Mining: Data Science in Action
WEBRip | English | MP4 | 960 x 540 | AVC ~151 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | 13:23:25 | 1.68 GB
Genre: eLearning Video / Computer Science, Engineering and Technology

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Mining The Social Web Mailboxes

Mining The Social Web   Mailboxes
Mining the Social Web - Mailboxes
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 23M | 183 MB
Genre: eLearning | Language: English


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Basic Statistics and Data Mining for Data Science


Basic Statistics and Data Mining for Data Science

Basic Statistics and Data Mining for Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 1.31 GB
Genre: eLearning | Language: English

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Author: voska89 | Comment: ( 0 )

Investigative Strategies for Lead-Source Attribution at Superfund Sites Associated with Mining Activities


Investigative Strategies for Lead-Source Attribution at Superfund Sites Associated with Mining Activities

Investigative Strategies for Lead-Source Attribution at Superfund Sites Associated with Mining Activities by Engineering, and Medicine National Academies of Sciences
English | Dec. 1, 2017 | ISBN: 0309465567 | 113 Pages | PDF | 6 MB
The Superfund program of the US Environmental Protection Agency (EPA) was created in the 1980s to address human-health and environmental risks posed by abandoned or uncontrolled hazardous-waste sites. Identification of Superfund sites and their remediation is an expensive multistep process. As part of this process, EPA attempts to identify parties that are responsible for the contamination and thus financially responsible for remediation.

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Individual and Collective Graph Mining


Individual and Collective Graph Mining

Individual and Collective Graph Mining: Principles, Algorithms, and Applications
Morgan & Claypool | English | Oct 2017 | ISBN-10: 1681730391 | 206 pages | PDF | 4.60 mb
By Danai Koutra, Christos Faloutsos

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