( ) | X Men 4 Origins: Wolve | West with the Night
 
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  • Author: upload113
  • Date: 15-01-2018, 00:30

Mining Journal - January 12, 2018

Category: Magazine

Mining Journal - January 12, 2018
Mining Journal - January 12, 2018
English | 36 pages | True PDF | 3 MB
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Packt Publishing - Basic Statistics and Data Mining for Data Science

Category: Tutorial

Packt Publishing - Basic Statistics and Data Mining for Data Science

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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O'Reilly - Mining the Social Web - Web Pages

Category: Tutorial

O'Reilly - Mining the Social Web - Web Pages

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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O'Reilly - Mining the Social Web - Mailboxes

Category: Tutorial

O'Reilly - Mining the Social Web - Mailboxes

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: supnatural
  • Date: 13-01-2018, 09:52

Mining the Social Web: Mining Instagram

Category: Tutorial

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

Category: Tutorial

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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  • Views: 0
  • Author: upload113
  • Date: 8-01-2018, 01:37

Coursera - Process Mining Data Science in Action (2018)

Category: Tutorial

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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  • Views: 0
  • Author: upload113
  • Date: 17-12-2017, 01:29

Mining Weekly - December 15, 2017

Category: Magazine

Mining Weekly - December 15, 2017
Mining Weekly - December 15, 2017
English | 48 pages | True PDF | 12.3 MB
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  • Views: 0
  • Author: sddd
  • Date: 12-12-2017, 06:24

Basic Statistics and Data Mining for Data Science

Category: Tutorial

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

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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  • Views: 0
  • Author: Bo0mB0om
  • Date: 4-12-2017, 00:05

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

Category: E-Book


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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