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Episode 9: Markov Chain Montecarlo with full conditionals
Episode 9
At some point, statistical problems need sampling. Sampling consists in generating observations from a specific distribution.
10 years, 2 months ago
Episode 7: 30 min with data scientist Sebastian Raschka
Episode 8
In this show I interview Sebastian Raschka, data scientist and author of Python Machine Learning.In addition to the fun we had offline, there are gre…
10 years, 2 months ago
Episode 8: Frequentists and Bayesians
Episode 7
There are statisticians and data scientists... Among statisticians, there are some who just count. Some others who… think differently. In this show w…
10 years, 2 months ago
Episode 6: How to be data scientist
Episode 6
In this episode, we tell you how to become data scientist and join an amazing community that is changing the world with data analytics.
10 years, 3 months ago
Episode 5: Development and Testing Practices in Data Science
Episode 5
Should data scientists follow the old good practices of software engineering? Data scientists make software after all.
10 years, 3 months ago
Episode 1: Predictions in Data Science for 2016
Episode 4
It’s time to experiment with Data Science at home. Since we are still dealing with our hosting service, consider the first episode purely experimenta…
10 years, 4 months ago
Episode 4: BigData on your desk
Episode 2
Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.
10 years, 9 months ago
Episode 2: Networks and Graph Databases
Episode 3
Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.
10 years, 9 months ago
Episode 3: Data Science and Bio-Inspired Algorithms
Episode 1
In this episode I meet Dr Eliseo Ferrante, formerly at the University of Leuven, currently researcher at the Université de Technologie de Compiègne, …
10 years, 9 months ago