Author archive for Dr J Rogel-Salazar, page 2

Dr J Rogel-Salazar

Dr Jesus Rogel-Salazar is a Research Associate in the Photonics Group in the Department of Physics at Imperial College London. He obtained his PhD in quantum atom optics at Imperial College in the group of Professor Geoff New and in collaboration with the Bose-Einstein Condensation Group in Oxford with Professor Keith Burnett. After completion of his doctorate in 2003, he took a posdoc in the Centre for Cold Matter at Imperial and moved on to the Department of Mathematics in the Applied Analysis and Computation Group with Professor Jeff Cash.

Data Science

MATLAB for Data Science and Machine Learning

The opportunities to solve problems with the use of data are greater than ever, and as different industries embrace them, the available data has been steadily increasing and the number of tools expanded. A typical question that new data scientists ask is related to the best programming language to learn, either to get a good understanding of coding or to future-proof their skills. Typically, the question is centered around some usual suspects such as R and Python. I have also been asked about Java and I have provided an answer to that query elsewhere. In reality, there may not be a single best tool to use, and I have long argued for using a toolbox approach to the data science practice. I would like to advocate for one of those tools: MATLAB.

By Dr J Rogel-Salazar9 min read

Data Science

Getting Data with Beautiful Soup

Data is all around us, from the spreadsheets we analyse on a daily basis, to the weather forecast we rely on every morning or the webpages we read. In many cases, the data we consume is simply given to us, and a simple glance is enough to make a decision. For example, knowing that the chance of rain today is 75% all day makes me take my umbrella with me. In many other cases, the data provided is so rich that we need to roll up our sleeves and we may use some exploratory analysis to get our heads around it. We have talked about some useful packages to do this exploration in a previous post.

By Dr J Rogel-Salazar13 min read

Data Science

Data Exploration with Pandas Profiler and D-Tale

We all have heard how data is the new oil. I always say that if that is the case, we need to go through some refinement process before that raw oil is converted into useful products. For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with.

By Dr J Rogel-Salazar15 min read

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