Data Science at Home

Data Science at Home

By Francesco GadaletaNewsTechnologyTech News
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    18 min

    per episode

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Data Science at Home episodes

  • Towards Artificial General Intelligence: preliminary talk

    The enthusiasm for artificial intelligence is raising some concerns especially with respect to some ventured conclusions about what AI can really do and what its direct descendent, artificial general intelligence would be capable of doing in the immediate future. From stealing jobs, to exterminating the entire human race, the creativity (of some) seems to have no limits. 
    In this episode I make sure that everyone comes back to reality - which might sound less exciting than Hollywood but definitely more... real. 

    21 min
  • Episode 27: Techstars accelerator and the culture of fireflies

    In the aftermath of the Barclays Accelerator, powered by Techstars experience, one of the most innovative and influential startup accelerators in the world, I’d like to give back to the community lessons learned, including the need for confidence, soft-skills, and efficiency, to be applied to startups that deal with artificial intelligence and data science.

    In this episode I also share some thoughts about the culture of fireflies in modern and dynamic organisations.

    18 min
  • Episode 27: Techstars accelerator and the culture of fireflies
    In the aftermath of the Barclays Accelerator, powered by Techstars experience, one of the most innovative and influential startup accelerators in the world, I’d like to give back to the community lessons learned, including the need for confidence, soft-skills, and efficiency, to be applied to startups that deal with artificial intelligence and data science.In this episode I also share some thoughts about the culture of fireflies in modern and dynamic organisations.
    18 min
  • Techstars accelerator and the culture of fireflies

    In the aftermath of the Barclays Accelerator, powered by Techstars experience, one of the most innovative and influential startup accelerators in the world, I’d like to give back to the community lessons learned, including the need for confidence, soft-skills, and efficiency, to be applied to startups that deal with artificial intelligence and data science.
    In this episode I also share some thoughts about the culture of fireflies in modern and dynamic organisations.

    18 min
  • Episode 26: Deep Learning and Alzheimer

    In this episode I speak about Deep Learning technology applied to Alzheimer disorder prediction. I had a great chat with Saman Sarraf, machine learning engineer at Konica Minolta, former lab manager at the Rotman Research Institute at Baycrest, University of Toronto and author of DeepAD: Alzheimer′ s Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI.

    I hope you enjoy the show.

    55 min
  • Episode 26: Deep Learning and Alzheimer
    In this episode I speak about Deep Learning technology applied to Alzheimer disorder prediction. I had a great chat with Saman Sarraf, machine learning engineer at Konica Minolta, former lab manager at the Rotman Research Institute at Baycrest, University of Toronto and author of DeepAD: Alzheimer′ s Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI.
    I hope you enjoy the show.
    55 min
  • Deep Learning and Alzheimer

    In this episode I speak about Deep Learning technology applied to Alzheimer disorder prediction. I had a great chat with Saman Sarraf, machine learning engineer at Konica Minolta, former lab manager at the Rotman Research Institute at Baycrest, University of Toronto and author of DeepAD: Alzheimer′ s Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI.


    I hope you enjoy the show.

    55 min

About Data Science at Home

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