Data Science at Home
Episodes
Tuesday Jul 03, 2018
Episode 36: The dangers of machine learning and medicine
Tuesday Jul 03, 2018
Tuesday Jul 03, 2018
Humans seem to have reached a cross-point, where they are asked to choose between functionality and privacy. But not both. Not both at all. No data, no service. That’s what companies building personal finance services say. The same applies to marketing companies, social media companies, search engine companies, and healthcare institutions.
In this episode I speak about the reasons to aggregate data for precision medicine, the consequences of such strategies and how can researchers and organizations provide services to individuals while respecting their privacy.
Monday Apr 02, 2018
Episode 31: The End of Privacy
Monday Apr 02, 2018
Monday Apr 02, 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 many mobile apps and services that characterize their digital life.
In this episode I am together with B.J.n Mendelson, author of “Social Media is Bullshit” from St. Martin’s Press and world-renowned speaker on issues involving the myths and realities involving today’s Internet platforms. B.J. has a new a book about privacy and sent me a free copy of "Privacy, and how to get it back" that I read in just one day. That was enough to realise how much we have in common when it comes to data and data collection.
Wednesday Feb 15, 2017
Episode 17: Protecting privacy and confidentiality in data and communications
Wednesday Feb 15, 2017
Wednesday Feb 15, 2017
Talking about security of communication and privacy is never enough, especially when political instabilities are driving leaders towards decisions that will affect people on a global scale
Tuesday Sep 06, 2016
Episode 13: Data Science and Fraud Detection at iZettle
Tuesday Sep 06, 2016
Tuesday Sep 06, 2016
Data science is making the difference also in fraud detection. In this episode I have a conversation with an expert in the field, Engineer Eyad Sibai, who works at iZettle, a fraud detection company
Tuesday Jul 26, 2016
Episode 12: EU Regulations and the rise of Data Hijackers
Tuesday Jul 26, 2016
Tuesday Jul 26, 2016
Extracting knowledge from large datasets with large number of variables is always tricky. Dimensionality reduction helps in analyzing high dimensional data, still maintaining most of the information hidden behind complexity. Here are some methods that you must try before further analysis (Part 1).