Recent Posts

• May 3, 2016podcast

  Episode 11: Representative Subsets For Big Data Learning

  How would you perform accurate classification on a very large dataset by just looking at a sample of it

• March 14, 2016podcast

  Episode 10: History and applications of Deep Learning

  What is deep learning?If you have no patience, deep learning is the result of training many layers of non-linear processing units for feature extraction and data transformation e.g. from pixel, to edges, to shapes, to object classification, to scene desc...

• March 2, 2016podcast

  Episode 9: Markov Chain Montecarlo with full conditionals

  At some point, statistical problems need sampling. Sampling consists in generating observations from a specific distribution.

• February 15, 2016podcast

  Episode 7: 30 min with data scientist Sebastian Raschka

  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 great elements about machine learning, data science, current and future trends, to keep an ear on. Moreover,...

• February 15, 2016podcast

  Episode 8: Frequentists and Bayesians

  There are statisticians and data scientists... Among statisticians, there are some who just count. Some others who… think differently. In this show we explore the old time dilemma between frequentists and bayesians.Given a statistical problem, who’s goin...

• January 19, 2016podcast

  Episode 6: How to be data scientist

  In this episode, we tell you how to become data scientist and join an amazing community that is changing the world with data analytics.

• January 13, 2016podcast

  Episode 5: Development and Testing Practices in Data Science

  Should data scientists follow the old good practices of software engineering? Data scientists make software after all.

• December 21, 2015podcast

  Episode 1: Predictions in Data Science for 2016

  It’s time to experiment with Data Science at home. Since we are still dealing with our hosting service, consider the first episode purely experimental, even though the content might be of your interest, no matter what.

• July 23, 2015podcast

  Episode 2: Networks and Graph Databases

  Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.

• July 23, 2015podcast

  Episode 4: BigData on your desk

  Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.