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SOSC 2019 Third International School on Open Science Cloud

16–20 Sept 2019
Bologna, CNAF
Europe/Rome timezone
School on Open Science Cloud

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Contribution List

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  1. 51. Welcome message and Introduction to the School
    Dr Gaetano Maron (INFN CNAF and Legnaro), Dr Davide Salomoni (INFN CNAF)
    16/09/2019, 09:00
  2. 37. Introduction to Statistical Learning
    Prof. Luca Scrucca (University of Perugia)
    16/09/2019, 09:15

    Statistical learning refers to a vast set of tools and techniques for modelling and understanding complex datasets. A great deal of interest on these aspects has recently surged in the statistical and computer science communities, and statistical learning has become a very hot field in many applications, such as marketing, finance, and other business disciplines. In this short introduction we...

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  3. 38. Introduction to Intelligent Systems
    Prof. Daniele Bonacorsi (University of Bologna)
    16/09/2019, 10:15

    Intelligent systems are ubiquitous. Their growth and deployment are addressing industrial, scientific and societal challenges. A brief overview of the applications of intelligent systems and predictive models - with focus on current and future opportunities - is offered. A major focus is given on scientific challenges in medical sciences, chemistry, bioinformatics, geosciences and physics.

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  4. 39. Introduction to Intelligent Infrastructures
    Dr Davide Salomoni (INFN CNAF)
    16/09/2019, 11:45

    What do we mean by "data and compute infrastructures" and to what extent they can be considered "Intelligent"? How and why are these terms changed over the past 20 years? This lecture will introduce the main results and challenges for efficient exploitation of data-driven research.

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  5. 40. Software ecosystem for Data Science
    Prof. Daniele Bonacorsi (University of Bologna), Dr Valentin Kuznetsov (Cornell University)
    16/09/2019, 14:30
  6. 41. Introduction to the mini-kaggle competition
    Dr Valentin Kuznetsov (Cornell University), Prof. Daniele Bonacorsi (University of Bologna)
    16/09/2019, 17:00
  7. 43. Data Science: state of the art
    Dr Valentin Kuznetsov (Cornell University)
    17/09/2019, 09:00

    The speaker will present the state of the art in data science, the role of (big) data in it, the skills needed to perform efficiently as a data scientist, and the key concepts around data, algorithms and techniques in the field.

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  8. 42. Machine/Deep Learning in HEP
    Prof. Daniele Bonacorsi (University of Bologna)
    17/09/2019, 10:00

    The speaker will give an overview of the utilisation of ML/DL techniques in High Energy Physics, with and without accelerators, giving (selected) examples. The talk will present the impact of such techniques in triggering, tracking and reconstruction, end-user data analysis, computing infrastructure optimization, etc. The talk will also discuss the transition from the use of field-specific...

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  9. 44. Resampling Methods
    Prof. Giuliano Galimberti (University of Bologna)
    17/09/2019, 11:30

    Choosing a proper level of complexity for a prediction rule (model selection) or evaluating its performance (model assessment) are two fundamental steps in any supervised statistical learning application. Both steps require reliable estimates of the expected prediction error. After providing some general definitions related to the prediction error in regression and classification, attention...

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  10. 54. Hands-on: Mini-kaggle + image classification (Part I)
    Dr Valentin Kuznetsov (Cornell University (US))
    18/09/2019, 16:30
  11. 46. Containers, their composition and orchestration
    Dr Davide Salomoni (INFN CNAF)
    19/09/2019, 09:00
  12. 47. Function as a Service and data streaming analytics in cloud infrastructures.
    Dr Daniele Spiga (INFN Perugia)
    19/09/2019, 14:30
  13. 45. Infrastructure as Code and Template-based orchestration in hybrid Clouds.
    Mirco Tracolli (PG)
    19/09/2019, 15:30
  14. 52. Hands-on: FaaS, analytics and template-based orchestration.
    Diego Ciangottini (PG)
    19/09/2019, 17:00
  15. 55. (Mini-kaggle + image classification (Part II))
    Dr Valentin Kuznetsov (Cornell University (US))
    20/09/2019, 09:00
  16. 50. Wrap-up of the school and follow-up opportunities for students
    20/09/2019, 11:30
  17. 53. Hands-on: Mini kaggle intermediate wrap-up, and a new challenge
    Dr Valentin Kuznetsov (Cornell University (US))
  18. 48. Intelligent Systems in Industry
    Fabrizio Magugliani (E4 Computer Engineering)
  19. 49. Intelligent Systems in Industry