data science

Episode 15: Statistical analysis of phenomena that smell like chaos

Is the market really predictable? How do stock prices increase? What is their dynamics? Here is what I think about the magics and the reality of predictions applied to markets and the stock exchange.

Episode 14: The minimum required by a data scientist

Why the job of the data scientist can disappear soon. What is required by a data scientist to survive inflation.

Episode 13: Data Science and Fraud Detection at iZettle

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

Episode 12: EU Regulations and the rise of Data Hijackers

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).

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

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 description, captioning, etc.

Episode 9: Markov Chain Montecarlo with full conditionals

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

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 going to be right?

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, it is the conversation of two data scientists who contribute and operate in the field, on a daily basis.

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.