Big Data Reviews

  • Lecture: Mathematics of Big Data and Machine Learning

    MIT RES.LL-005 D4M: Signal Processing on Databases, Fall 2012
    View the complete course: https://ocw.mit.edu/RESLL-005F12
    Instructor: Jeremy Kepner

    Jeremy Kepner talked about his newly released book, "Mathematics of Big Data," which serves as the motivational material for the D4M course.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu
    103060 Views
  • Intro to Big Data: Crash Course Statistics #38

    Today, we're going to begin our discussion of Big Data. Everything from which videos we click (and how long we watch them) on YouTube to our likes on Facebook say a lot about us - and increasingly more and more sophisticated algorithms are being designed to learn about us from our clicks and not-clicks. Today we're going to focus on some ways Big Data impacts on our lives from what liking Hello Kitty says about us to how Netflix chooses just the right thumbnail to encourage us to watch more content. And Big Data is necessarily a good thing, next week we're going to discuss some of the problems that rise from collecting all that data.

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    Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:

    Sam Buck, Mark Brouwer, James Hughes, Kenneth F Penttinen, Trevin Beattie, Satya Ridhima Parvathaneni, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, D.A. Noe, Shawn Arnold, Malcolm Callis, Advait Shinde, William McGraw, Andrei Krishkevich, Rachel Bright, Mayumi Maeda, Kathy & Tim Philip, Jirat, Ian Dundore
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    48994 Views
  • How to Monetize Big Data | Mathias Lundø Nielsen | TEDxKEA

    The exponential growth and availability of data has come to play a pivotal role in the manner in which individuals, companies and society at large operate. Big data has become a buzzword, and while businesses scramble to utilize the constant flow of information, a succesful formula for monetizing big data is yet to be found.

    26-year-old serial entrepreneur Mathias Lundø Nielsen just might have discovered that magical formula. He is determined to show the world how we can utilize big data to bring unparalleled value to consumers and businesses alike, as he himself is doing at the moment with his latest venture in the luxury hotel industry.

    Mathias Lundø Nielsen is a 26-year-old serial entrepreneur, who has already enjoyed enormous success with several businesses across various industries, from fashion to hotel booking. He is currently using big data to revolutionize the way we book our holidays.

    This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
    136871 Views
  • Big Data For Beginners | Big Data Analytics | Hadoop | Courses | Scope | Salary

    Big Data For Beginners | Big Data Analytics | Hadoop | Courses | Scope | Salary

    In this video we will explained Big Data and We will also explain how you can make career in it.

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    46700 Views
  • What is Big Data? Introduction to Big Data | Big Data on Hadoop [Part 1] | Tutorial | Great Learning

    #BigData | What is Big Data Hadoop? How does it helps in processing and analyzing Big Data? In this course, you will learn the basic concepts in Big Data Analytics, what are the skills required for it, how Hadoop helps in solving the problems associated with the traditional system and more.

    About the Speaker: Raghu Raman A V
    Raghu is a Big Data and AWS expert with over a decade of training and consulting experience in AWS, Apache Hadoop Ecosystem including Apache Spark.

    He has worked with global customers like IBM, Capgemini, HCL, Wipro to name a few as well as Bay Area startups in the US.

    #BigData #BigDataHadoop #GreatLakes #GreatLearning
    About Great Learning:
    - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.

    - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM

    - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U

    - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670

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    337 Views
  • Big Data Problems: Crash Course Statistics #39

    There is a lot of excitement around the field of Big Data, but today we want to take a moment to look at some of the problems it creates. From questions of bias and transparency to privacy and security concerns, there is still a lot to be done to manage these problems as Big Data plays a bigger role in our lives.

    Special thanks to Dr. Sameer Singh, the University of Washington, and the University of California Irvine for the content provided in this video.

    Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse

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    Sam Buck, Mark Brouwer, James Hughes, Kenneth F Penttinen, Trevin Beattie, Satya Ridhima Parvathaneni, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, D.A. Noe, Shawn Arnold, Malcolm Callis, Advait Shinde, William McGraw, Andrei Krishkevich, Rachel Bright, Mayumi Maeda, Kathy & Tim Philip, Jirat, Ian Dundore
    --

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    6536 Views
  • Body Language: Apple CEO Tim Cook User Privacy Vs Big Data

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    *Strictly the opinion of Bombards Body Language.
    12567 Views
  • Science Documentary 2016 | Big Data

    With the rapid emergence of digital devices, an unstoppable, invisible force is changing human lives in incredible ways. Every two days the human race is now generating as much data as was generated from the dawn of humanity through the year 2003. The massive gathering and analyzing of data in real time is allowing us to address some of humanity's biggest challenges but as Edward Snowden and the release of NSA documents have shown, the accessibility of all this data comes at a steep price. This film captures the promise and peril of this extraordinary knowledge revolution.
    --------------------------------------------------------------------------------
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    69462 Views
  • Big Data "Dangerous" Live Performance

    Big Data performs their song "Dangerous" live on the #ALT987Penthouse rooftop at the Historic Hollywood Tower.
    110770 Views
  • What is Big Data and why does it matter? | Donna Green | TEDxSouthamptonUniversity

    What is Big Data? Can it help us solve some of society’s big challenges? If so, how? Donna Green provides answers to these and other questions in this fact filled and fascinating talk.

    Donna Green studied mathematics at university and is a Chartered Engineer in the Institute of Engineering and Technology She is currently an Advanced Lead Data Scientist at General Electric where she applies advanced analytical techniques to a wide variety of domains including aircraft structures, energy gas turbines, wind turbines, and aircraft engines. In recent years Donna has been leading project in the Aviation Big Data Environment.

    This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
    57735 Views
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