Big Data Reviews

  • EL BIG DATA EN LA NBA... Y EL FÚTBOL | Con Andrés Monje

    ¿Cómo ha cambiado la Estadística Avanzada a la NBA? ¿Qué tipo de cambios y con qué profundidad se han producido en el desarrollo del juego? Con Andrés Monje hablamos de todo ello para, posteriormente, abordar su posible impacto en el mundo del fútbol.

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  • Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex

    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)
  • What Is Big Data? & How Big Data Is Changing The World!

    In this video, we’ll be discussing big data – more specifically, what big data is, the exponential rate of growth of data, how we can utilize the vast quantities of data being generated as well as the
    implications of linked data on big data.

    - Starting off we'll look at, how data has been used as a tool from the origins of human evolution, starting at the hunter-gatherer age and leading up to the present information age. Afterwards, we'll look into many statistics demonstrating the exponential rate of growth and future growth of data.

    - Following that we'll discuss, what exactly big data is and delving deeper into the types of data, structured and unstructured and how they will be analyzed both by humans and machine learning (AI). We'll also discuss the next evolution of data,
    linked data, and how it will change the world and the web!

    - To conclude we'll briefly overview the role cloud computing will play with big data!

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  • Documental - Big Data, conviviendo con el algoritmo | Documentos TV

    La digitalización del mundo físico y los algoritmos se han situado en el centro de nuestro estilo de vida. La novedad ya no es que cada persona lleve uno o dos dispositivos conectados, ahora los objetos también se conectan entre sí.

    Una producción propia de RTVE que muestra cómo los actos cotidianos se convierten en datos digitales cuyo control es una de las grandes batallas de nuestro tiempo. El desarrollo de algoritmos, fórmulas informáticas que predicen nuestro comportamiento, nos acerca a un mundo de decisiones tomadas por la inteligencia artificial.

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  • Lecture: Mathematics of Big Data and Machine Learning

    MIT RES.LL-005 D4M: Signal Processing on Databases, Fall 2012
    View the complete course:
    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
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  • 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.

    Crash Course is on Patreon! You can support us directly by signing up at

    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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  • Formation Big Data avec Apache Spark: Initiation | Présentation du Big Data

    Voici une vidéo complète de la formation Big Data avec Apache Spark - Initiation qui est en cours de préparation par Aimad TAHI sur

    Plan de la vidéo
    Le Big Data
    Apache Hadoop
    Apache Spark
    Programmer avec Apache Spark
    Spark SQL
    Spark Streaming
  • Atualidades - Big Data no dia a dia do Policial - Focus Concursos

    Baixe o material de apoio:

    Sabe aquela aula que serve para a vida? Nossas aulas de Atualidades com a Professora Carla Kurz é uma delas. Além de contextualizar dados históricos e geográficos, deixa dicas de como utilizar essas informações nas discursivas!

    Inscreva-se no canal do Focus para ter acesso a inúmeras aulas gratuitas →
    O Melhor conteúdo para concursos no Youtube! Aulas Gratuitas Todos os dias, informações, notícias e Motivacionais.

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  • Big data : données, données, donnez-moi ! - #DATAGUEULE 15

    À mesure que nos vies sont de plus en plus connectées, les données personnelles que nous émettons lors de chacune de nos activités deviennent un enjeu industriel considérable. Partons à la découverte d’un monde bâti autour du big data.

    Retrouvez toutes les sources de l’épisode 15, “Big data : données, données, donnez-moi !” sur :

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    Toutes les sources de nos épisodes sont sur

    Nos différentes saisons :
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  • 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
The Number One Menace to All Organizations

Learn more about how to protect your organization against this growing menace


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