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Data Mining Michael Delery
 
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I created this video with the YouTube Video Editor (http://www.youtube.com/editor)
Views: 14 Michael Delery
Authors of Data Mining Techniques say big data doesn't really change everything (Preview)
 
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To view the complete interview visit https://www.jmp.com/en_us/events/ondemand/analytically-speaking/analytically-speaking-berry-and-linoff-2.html MIchael J. A. Berry and Gordon S. Linoff talk about the current data mining landscape; new methods, new types of data and the importance of using the right analysis for problems. Key discussion points: -Why big data doesn’t really change everything. -When good analysis is wasted doing the wrong thing. -Changes in data mining and predictive analytics over the years. -Using found data – text data, social data, device data. -How to talk about data mining to an executive without an analytics background.
Views: 270 JMPSoftwareFromSAS
Data Mining Video
 
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Views: 63 Michael Sapp
Ch 9 - Data Mining
 
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Ch 9 - Data Mining
Views: 21 Michael Devlin
The Democratization of Data, Michael Rikkola, Komatsu Mining
 
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The Democratization of Data: How the Rapidly Expanding Use of Data and Analytics is Empowering Mine Optimization While Shaping a New Generation of Miner MEET THE INDUSTRY LEADERS WHO SHAPE THE FUTURE OF MINING The Future of Mining event brings together together C-suite, Heads and Managers of Mine Operations, METS and Support Services from top enterprises around the globe to debate, come up with answers and define the current and future mining landscape. Expert speakers include leaders from across the industry in an agenda curated through the knowledge capital of our trusted globally renowned Australia's Mining Monthly and Mining Magazine editorial teams. The events address the key strategic and operational questions that matter from project/operations level management through to the boardroom. This event is designed to step away from the traditional transactional conference model to provide a transformational experience. Visit sydney.future-of-mining.com americas.future-of-mining.com
Ninja Tracks - Data Mining
 
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Album: Revolution Dominion Composed By: Kaveh Cohen, Michael Nielsen Official: http://ninjatracks.com/ Soundcloud: https://soundcloud.com/ninjatracks Facebook: https://www.facebook.com/ninjatracks Playlist: https://www.youtube.com/playlist?list=PLlbnzwCkgkTB7xBdLOfwPt4vXghX8mzQD Image Albums:- http://theprimes1.imgur.com/ http://theprimes2.imgur.com/ http://theprimes3.imgur.com/ http://theprimes4.imgur.com/ http://theprimes5.imgur.com/ http://theprimes6.imgur.com/ http://theprimes7.imgur.com/ http://theprimes8.imgur.com/ http://theprimes9.imgur.com/ http://theprimes10.imgur.com/ http://theprimes11.imgur.com/ http://theprimes12.imgur.com/ http://theprimes13.imgur.com/ http://theprimes14.imgur.com/ http://theprimes15.imgur.com/ (New Images Goes Here) Additional Links in channel description. Main Image Source: http://wallbase.cc Note for the new Artists: If you would like to submit your own track or Artwork then please follow below instructions. You can either send me an message in here with download link or you can email me at [email protected] - If it's a Track then it needs to be at least 320 kbps with small description/Genre on the track. - If it's a Artwork then it always needs to be 16:9 aspect ratio (No logos in bottom corners) Make sure you subscribe to these two channels. Backup Channel: http://goo.gl/P5T9gI One Hour Station: http://goo.gl/44ZRnG Note:- I'm not the creator of this Music or Image, All rights belongs to respective owners. Feel free to Message me if you know the original Image Artist. This video is purely fan-made, it's done for entertainment purposes only. Have Fun! ▂▂▂▂▂▂▂▂▂▂▂▂▂ Note for the new Artists: ✖✖ If you would like to submit your track, visual art for promotion. ✖✖ If you want to add any kind of information which belongs to the video (audio or visual) ✖✖ If you have any issues regarding any of the videos. Please look for my email address in my channel's about page, please do not send me message on this channel. ▂▂▂▂▂▂▂▂▂▂▂▂▂ Submission Requirements: ✖✖ Audio - Please specify the genre on submission ✖✖ Please provide all your social media links for description. ✖✖ Audio - Must be minimum 320kbps ▂▂▂▂▂▂▂▂ Copyright Info © ✔ Be aware all music and pictures belongs to the original artists. ✔ I am in no position to give anyone permission to use this.
Views: 43843 ThePrimeCronus
Enterprise Data Warehouse Whiteboard Explainer Video
 
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The video is an introduction to the function and organizational structure of the St. Michael's Hospital Enterprise Data Warehouse.
Views: 1850 LKS-CHART
Is Data Mining Unethical?
 
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Final Theis Project
Views: 18 Michael McLane
Sociology 3302 Data Mining
 
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By: Megan Crevar. Michael Huang, Mark Luke, Rion Tipton We own no rights to any video content sampled in this video. Video footage is used purely for educational purposes.
Views: 54 Michael Huang
Mastering Data Mining
 
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Mastering Data Mining: The Art And Science Of Customer Relationship Management. By Michael J. A. Berry, Gordon S. Linof... http://www.thebookwoods.com/book02/0471331236.html Author of the book in this video: Michael J. A. Berry Gordon S. Linoff The book in this video is published by: Wiley THE MAKER OF THIS VIDEO IS NOT AFFILIATED WITH OR ENDORSED BY THE PUBLISHING COMPANIES OR AUTHORS OF THE BOOK IN THIS VIDEO. ---- DISCLAIMER --- Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. All content in this video and written content are copyrighted to their respective owners. All book covers and art are copyrighted to their respective publishing companies and/or authors. We do not own, nor claim ownership of any images used in this video. All credit for the images or photography go to their rightful owners.
Views: 39 Johan Lidrag Hagen
Archive #2 | Practicing Fluid Sounds in Public | Data mining #1
 
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Michael making love in this godly place called home. This is an earth palace for the gods. May we hear the glorious birds sing! My favorite parts are around 4-5 minutes and around 10 minutes. Yes yes, this is not perfectly musical nor melodic. that wasn't my intent. my intent was to practice fluid changes and play with transforming colors, shapes and textures of sound. Rhythmically kind of boring and on beat, but that's alright. I am so thankful to be here. Thank you god for allowing me to exist. And thank you gaia for giving soul this body! Your Pledge and/or Donation Supports COUNTLESS hours of physical training, mindful training, emotional training, and skillful training. Please consider donating! (Controversial content BARELY gets monetized) Thank you so much! https://www.patreon.com/improvehumanity PayPal: (NO FEES) https://www.paypal.me/improvehumanity SOCIAL MEDIA FB: https://www.facebook.com/improvehumanity Instagram: https://www.instagram.com/improvehuma... SNAPCHAT: @improvehumanity Twitter: https://www.twitter.com/authentichomie CROWDFUNDING: https://www.patreon.com/improvehumanity PAYPAL: Use https://www.paypal.me/improvehumanity Where I Live & What I do (visit patreon page) HUGE Thanks goes out to Marius, Geo, Travis, Insertego, Aminn, Jack, Craig, & Suraschai, Jake, Jackson, O'Neil, Evan, and Mimi for consistently supporting my ideas & creations!
Views: 54 michaelthemusician
Israel and Telephonic Data Mining
 
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A Fox News report of an extensive Israeli datamining operation that closely resembles the current American program to monitor telephonic traffic patterns for possible terrorist activity.
Views: 3063 Michael Bryan
BigDataX: What is data mining?
 
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Big Data Fundamentals is part of the Big Data MicroMasters program offered by The University of Adelaide and edX. Learn how big data is driving organisational change and essential analytical tools and techniques including data mining and PageRank algorithms. Enrol now! http://bit.ly/2rg1TuF
Data mining the Buddhist and Daoist Canons
 
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A Digital Humanities lecture giving an overview of scholarly questions and digital tools for the study of pre-modern Chinese texts. This discusses the combined use of Docusky, Markus and Palladio to track the distribution of term clusters in the Daoist and Buddhist Canons. Required viewing and exercise before attending the workshop. There is a practical exercise embedded at 24:23. See below for more. Introduction 4:43 Research Scope: Plural Medicine in the Six Dynasties 9:05 Discussion of Digital Tools Research Examples 17:00 Buddhist Codes: Text Proximity 20:29 Daoist Texts: Context Discovery 27:31 Excavated Manuscripts: Philological Violence & Linguistic and Plant Geography LINKS Docusky: http://docusky.digital.ntu.edu.tw/DocuSky/ds-01.home.html MARKUS: https://dh.chinese-empires.eu/markus/beta/ Palladio: http://hdlab.stanford.edu/palladio/ My website with blogs, articles and links to data: http://michaelstanley-baker.com/digital-humanities/ 24:23 DOWN AND DIRTY GUIDE FOR QUICK MARKUS MARKUP. Use these files to follow the example: 12,000 Drug Terms List: https://doi.org/10.21979/N9/GCVUUO Github for 上清太上帝君九眞中經卷下: https://github.com/kanripo/KR5g0185/blob/master/KR5g0185_002.txt
DEA Data Mining
 
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From "Kennedy," seen on the Fox Business Channel, Michael Malice and Joann Nosuchinsky join the host to discuss the latest measures taken by the Drug Enforcement Agency to surveil the American public. http://www.LibertyPen.com
Views: 3100 LibertyPen
Michael Conover: Information Visualization for Large-Scale Data Workflows
 
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Presented at SF Data Mining on Oct 9, 2013 The ability to instrument and interrogate data as it moves through a processing pipeline is fundamental to effective machine learning at scale. Applied in this capacity, information visualization technologies drive product innovation, shorten iteration cycles, reduce uncertainty, and ultimately improve the performance of predictive models. It can be challenging, however, to understand where in a workflow to employ data visualization, and, once committed to doing so, developing revealing visualizations that suggest clear next steps can be similarly daunting. In this talk we'll describe the role that information visualization technologies play in the LinkedIn data science ecosystem, and explore best practices for understanding the structure of large-scale data in a production environment. From hypothesis generation and feature development to model evaluation and tooling, visualization is at the heart of LinkedIn's machine learning workflows, enabling our data scientists to reason and communicate more effectively. Broken down into clear, structured insights based on proven workflow patterns, this talk will help you understand how to apply information visualization to the analytical challenges you encounter every day.
Views: 4598 SF Data Mining
data mining 101
 
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Views: 114 Michael Nazareth
Michael Lasmanis: Data and Online Advertising
 
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Michael Lasmanis is CTO of Pulpo Media. Held at the Haas School of Business, University of California, Berkeley, the Data Science & Strategy Lecture Series examines the evolving role of "big data" and analytics in managerial decision-making. In this playlist, lecture series host Prof. Greg La Blanc interviews industry executives and practitioners on key topics in data science, including data mining, machine learning, visualization, advanced statistics and more. For more information please visit: http://businessinnovation.berkeley.edu/data-science-strategy/lecture-series/.
Views: 1549 Berkeley Haas
Data Mining using Wireshark (Part 3 of 3)
 
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Part 3 of this series demonstrates how to mine data to grab an FLV video from Youtube. In addition, Adobe Bridge is demonstrated. This tutorial was created by Mike Lively of Northern Kentucky University.
Views: 116271 Michael Lively
Why is Educational Data Mining Important?
 
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Leading experts from the field of Educational Data Mining weigh in on why educational data mining is important. FEATURING David Lindrum (Founder & Course Designer, Soomo Learning) Piotr Mitros (Chief Scientist, edX) April Galyardt (Assistant Professor, University of Georgia College of Education) Ryan Baker (Associate Professor of Cognitive Studies, Teachers College Columbia University) Tiffany Barnes (Associate Professor of Computer Science, North Carolina State University) RECORDED AND PRODUCED BY Timothy D. Harfield
Views: 940 Timothy Harfield
Prof. Michael Cafarella
 
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Prof. Michael Cafarella speaks about his work in data mining and its applications in mining social content and unlocking legacy data. Prof. Cafarella's research interests include databases, information extraction, data integration, and data mining. He is particularly interested in applying data mining techniques to Web data and scientific applications. His website is at: http://web.eecs.umich.edu/~michjc
Boston Investigation: What Data Mining Will Reveal
 
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April 19 (Bloomberg) -- Steptoe & Johnson Partner Michael Vatis discusses media coverage of the Boston Marathon bombing on Bloomberg Television's "Bloomberg West." (Source: Bloomberg) -- For more "Bloomberg West" videos: http://bloom.bg/LIZpfr -- Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg
Views: 4606 Bloomberg
Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex
 
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This talk was given at a local TEDx event, produced independently of the TED Conferences. The amount of information that we are creating is increasing at an incredible speed. But how are we going to manage it? Professor Maria Fasli is based in the School of Computer Science and Electronic Engineering at the University of Essex. She obtained her BSc from the Department of Informatics of T.E.I. Thessaloniki (Greece). She received her PhD from the University of Essex in 2000 having worked under the supervision of Ray Turner in axiomatic systems for intelligent agents. She has previously worked in the area of data mining and machine learning. Her current research interests lie in agents and multi-agent systems and in particular formal theories for reasoning agents, group formation and social order as well as the applications of agent technology to e-commerce. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 143982 TEDx Talks
MSM Reveals Phony Outrage On Facebook Data-Mining
 
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Michael Knowles critiques the phony outrage coming from the media on the Facebook data-mining scandal with Cambridge Analytica.
Views: 2974 The Daily Wire
Data Streams I
 
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Michael Kapralov, EPFL https://simons.berkeley.edu/talks/clone-clone-clone-clone-sketching-linear-algebra-i-basics-dim-reduction Foundations of Data Science Boot Camp
Views: 703 Simons Institute
Lecture 4: Mining Data Streams
 
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CMSC5741 Big Data Tech. & App. Prof. Michael R. Lyu The Chinese University of Hong Kong
Views: 368 Jichuan Zeng
Cosma Shalizi - Why Economics Needs Data Mining
 
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Cosma Shalizi urges economists to stop doing what they are doing: Fitting large complex models to a small set of highly correlated time series data. Once you add enough variables, parameters, bells and whistles, your model can fit past data very well, and yet fail miserably in the future. Shalizi tells us how to separate the wheat from the chaff, how to compensate for overfitting and prevent models from memorizing noise. He introduces techniques from data mining and machine learning to economics -- this is new economic thinking.
Views: 11664 New Economic Thinking
Unemployment data mining
 
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This video describes the functionality of http://unemployment-mining.com/ and shows the user how to use it to mine useful information for unemployment, natality, and mortality in the United States
64th Air Safety Forum - Data Mining For Safer Skies
 
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This panel of pilots, FAA representatives, and management will discuss how they work together for safety. They will discuss the data-mining process, share success stories, and express the importance of employee reports. Moderator: Capt. Steve Jangelis—Aviation Safety Chair, Air Line Pilots Association, Int’l Capt. Michael Quiello—Vice President, Corporate Safety, United Airlines and CAST Industry Co-Chair Capt. Neil Raaz—Joint Implementation Measurement Data Analysis Team Co-Chair, American Airlines Vivek Sood—Technical Advisor, Federal Aviation Administration Capt. Michael Schilz—ASO FOQA Team Leader, Air Line Pilots Association, Int’l Capt. Craig Hoskins—Vice President, Safety, Security, and Technical Affairs, Airbus Americas Inc. Capt. Terry McVenes—Director, System Safety and Regulatory Affairs, Boeing Commercial Airplanes
Views: 34 AirSafetyForum
DEF CON 17 - Michael Schrenk - Screen Scraper Tricks Extracting Data from Difficult Websites
 
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Screen Scraper Tricks: Extracting Data from Difficult Websites Michael Schrenk Screen scrapers and data mining bots often encounter problems when extracting data from modern websites. Obstacles like AJAX discourage many bot writers from completing screen scraping projects. The good news is that you can overcome most challenges if you learn a few tricks. This session describes the (sometimes mind numbing) roadblocks that can come between you and your ability to apply a screen scraper to a website. You'll discover simple techniques for extracting data from websites that freely employ DHTML, AJAX, complex cookie management as well as other techniques. Additionally, you will also learn how "agencies" create large scale CAPTCHA solutions. All the tools discussed in this talk are available for free, offer complete customization and run on multiple platforms. Michael Schrenk is a webbot developer and the author of "Webbots, Spiders, and Screen Scrapers" (2007, No Starch Press). He has also written for ComputerWorld, php|architect and Web Techniques magazines. Mike also gave presentations at DEFCON X, XI and XV. He works for a wide range of clients across North American as well as in Russia, Spain and The Netherlands. Stop by www.schrenk.com and say hello. For copies of the slides and additional materials please see the DEF CON 17 Archive here: https://defcon.org/html/links/dc-archives/dc-17-archive.html
Views: 4637 DEFCONConference
Fully Real-Time Recommendation – Ted Dunning at SF Data Mining
 
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https://www.mapr.com/events – Ted Dunning talks about fully real-time recommendation engines, best practices, and use cases.
Views: 1183 MapR Technologies
ML Meets Economics New Perspectives and Challenges (Michael I. Jordan)
 
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While there has been significant progress in the theory and practice in machine learning in recent years, many fundamental challenges remain. Some are mathematical in nature, such as the challenges associated with optimization and sampling in high-dimensional spaces. Some are statistical in nature, including the challenges associated with multiple decision-making. Others are economic in nature, including the need to price services and provide incentives in data-based markets. And others are systems challenges, arising from the need for highly-scalable, robust and understandable hardware and software platforms. I will overview these challenges, focusing on the economic issues. To learn more: https://databricks.com/product/getting-started-guide
Views: 1109 Databricks
Lecture 36 — Mining Data Streams | Mining of Massive Datasets | Stanford University
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
Dr. Michael Gashler: Machine Learning for Non-Traditional Challenges | Nowhere Developers 2018
 
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Watch University of Arkansas Professor, Dr. Michael Gashler and his full talk Nowhere Developers Conference 2018, titled "Using Neural Networks to Solve Non-Traditional Challenges". Abstract: It is well understood that deep neural networks can be highly effective function approximators, but it is less well known that function approximation is not the only thing they can do. Neural networks can also infer missing values in data, generate anticipated observations, estimate state in dynamic systems, remove noise from inputs, reduce dimensionality, and fuse information from different modalities. Applying neural networks in such atypical ways requires the user to have a little knowledge about how they work internally. This talk seeks to impart a little intuition for what happens inside a neural network, and will demonstrate how neural networks can be used in applications that require a more than just function approximation. The goal of this talk will be to enable the attendees to make more effective use of neural networks in non-traditional applications. Speaker Bio: Michael S. Gashler studies in the field of machine learning. His research interests focus on methods that enable machines to perceive and understand high-dimensional observations, and to operate effectively in circumstances that were not anticipated a priori by the programmer. Dr. Gashler earned his Ph.D. in machine learning with a focus in non-linear dimensionality reduction from Brigham Young University in 2012. Prior to his graduate studies, he worked for Microsoft where he helped to develop the security system underlying the Common Language Runtime. He is the architect of several open source projects, including "Waffles", a toolkit of machine learning and data mining algorithms. He taught himself to program when he was young by trying to build the video games that his parents did not give to him. He now hopes to inspire students to build technology that science has not yet given to us. In particular, his lab intents to narrow the gap between the cognitive capabilities of humans and machines. About the Conference: Nowhere Developers Conference 2018 brought together hundreds of developers and engineers from across the U.S. for a one-day, pure tech conference in Bentonville, AR on March 15. With a mission of showcasing the incredible development and engineering talent in middle America, the conference featured local, regional, and national speakers from companies like Google, Mozilla, Mailchimp, and Walmart speaking about the state of the industry, software engineering, emerging technology such as machine learning and cryptocurrency, and the region's growing technology ecosystem. For more information, visit www.nowheredevelopers.com or on Facebook, Twitter, and Instagram. Follow the conference hashtags #NWD2018 and #nowheredevelopers.
Data Mining Services West Palm Beach Florida
 
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Data management is an invaluable resource that businesses are not taking advantage of. Many companies aren’t aware that there’s a science behind the collection, transformation, and application of data to create business strategies and solutions. This process is called data mining, and it isn’t exactly a walk in a park. Data mining is an in-depth, highly involved, and incredibly time-consuming process that many companies just can’t execute in-house.
Views: 7539 Michael Fieger
Michael Levitt, Stanford University - Stanford Big Data 2015
 
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Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
Views: 1433 Stanford
LeWeb 2011 Michael Fertik, Founder, Reputation.com
 
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Michael Fertik, Founder, Reputation.com on the Privacy Economy: data mining, data collection, and the invasive way technology is becoming a part of our lives
Views: 983 LeWeb
MAC17 Attendee: Michael Bain, Merck & Co.
 
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Michael Bain is a data scientist at Merck & Co and is sharing his experience from #MiACON17. This is his second time attending and talks about the biggest professional benefits from the conference and workshops. Megaputer Conference, Megputer Analytics Conference, data analysis, text analysis, learning analytics, data analytics, text analytics, analytics conference, analytics, software, polyanalyst, megaputer, machine learning, predictive analysis, nlp, pharma, insurance, subrogation, entity extraction, data mining, text mining, competitive intelligence, business intelligence, computational linguistics, MiACON17
Drones and Data Mining: The Intelligence Transformation After 9/11
 
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Data mining and drones have both sparked controversy, but have these tools given the US the upper-hand against our enemies? Must Americans give up a degree of privacy for the sake of national security? After 9/11, intelligence agencies have expanded their reliance on data-mining tools to amass and analyze metadata from around the world on suspected terrorists, world leaders, and ordinary citizens in an attempt to net useful tips. Drones have emerged as another critical instrument in the fight against Al Qaeda and jihadist extremists. But do these attacks keep us safe, or does the collateral damage breed more terrorists? Join John Moseman, former chief of staff to the Director of the CIA, and Andy Johnson, former staff director of the US Senate Select Committee on Intelligence, for an in-depth discussion of the transformation of the intelligence field and the debate surrounding these changes.
Views: 1302 IntlSpyMuseum