Data Science at Home

Making machine learning easy for everyone

Episodes Date

In the attempt of democratizing machine learning, data scientists should have the possibility to train their models on data they do not necessarily own, nor see. A model that is privately trained shou...
June 11, 2018
I know, I have been away too long without publishing much in the last 3 months. But, there's a reason for that. I have been building a platform that combines machine learning with blockchain technolog...
June 4, 2018
Cross-posting from Overview Francesco Gadaleta introduces Fitchain, a decentralized machine learning platform that combines blockchain technology and AI to solve the data manipulation ...
May 24, 2018
Data is a complex topic, not only related to machine learning algorithms, but also and especially to privacy and security of individuals, the same individuals who create such data just by using the ma...
April 2, 2018
Despite what researchers claim about genetic evolution, in this episode we give a realistic view of the field.
November 21, 2017
In order to succeed with artificial intelligence, it is better to know how to fail first. It is easier than you think.Here are 9 easy steps to fail your AI startup.
November 11, 2017
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 ...
November 4, 2017
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 le...
October 30, 2017
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...
October 23, 2017
In this episode, I speak about the requirements and the skills to become data scientist and join an amazing community that is changing the world with data analyticsa
October 16, 2017

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