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Big Data Jornadas XXXV AES. 'Workshop introduction: a Big Data conceptual map for dummies' June 2015
The document provides a conceptual map of big data, highlighting its key characteristics such as volume, velocity, and variety. It discusses different types of data analysis including supervised and unsupervised learning, and mentions concepts like neural networks and feature extraction. Additionally, it addresses challenges in big data such as dimensionality and overfitting, underscoring the importance of framing the right questions for data analysis.
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Big Data Jornadas XXXV AES. 'Workshop introduction: a Big Data conceptual map for dummies' June 2015
- 1. BIG DATA CONCEPTUAL MAPFOR DUMMIES 16 de junio 2015
- 2. 16 de junio2015
- 3. BIG DATA CONCEPTUAL MAPFROM A DUMMY
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- 18. Lots of V’Smore if you’re interested: Veracity Value Variability Visualization
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- 31. Machine Understanding the Worldby its relations
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- 33. Supervised “Feed the machinewith data and let’s find some model that fits”
- 34. Unsupervised “Feeds the machinewith data and models and leave it to choose the model that fits”
- 35. Neural Networks “Let’s teachthe machine how to train itself for a certain task and leave it to conquer the World”
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- 39. Machine It is allabout FEATURE EXTRACTION!!!
- 40. Machine What about the“curses” I mentioned earlier…?
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- 47. THANKS FOR YOURATTENTION @pacoramon festupinnan.iacs@aragon.es @atlasvpm Web: www.atlasvpm.org Web: www.echo-health.eu