Episodes
Sep 27, 2016
Sep 27, 2016
16 min
Why the job of the data scientist can disappear soon. What is required by a data scientist to survive inflation.
Sep 6, 2016
Sep 6, 2016
16 min
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
Jul 26, 2016
Jul 26, 2016
16 min
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).
May 3, 2016
May 3, 2016
21 min
How would you perform accurate classification on a very large dataset by just looking at a sample of it
Mar 14, 2016
Mar 14, 2016
22 min
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 description, captioning, etc.
Mar 2, 2016
Mar 2, 2016
17 min
At some point, statistical problems need sampling. Sampling consists in generating observations from a specific distribution.
Feb 15, 2016
Feb 15, 2016
6 min
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 going to be right?
Feb 15, 2016
Feb 15, 2016
34 min
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, it is the conversation of two data scientists who contribute and operate in the field, on a daily basis.
Jan 19, 2016
Jan 19, 2016
15 min
In this episode, we tell you how to become data scientist and join an amazing community that is changing the world with data analytics.
Jan 13, 2016
Jan 13, 2016
7 min
Should data scientists follow the old good practices of software engineering? Data scientists make software after all.
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