About Favio Vazquez

Favio Vazquez is a physicist and computer engineer working on Data Science and Computational Cosmology. He has a passion for science, philosophy, programming, and music. He is the creator of Ciencia y Datos, a Data Science publication in Spanish. He loves new challenges, working with a good team and having interesting problems to solve. He is part of Apache Spark collaboration, helping in MLlib, Core and the Documentation. He loves applying his knowledge and expertise in science, data analysis, visualization, and automatic learning to help the world become a better place.

Favio Vazquez Posts (18)

  • Data Science with Optimus Part 2: Setting your DataOps Environment - 16 Apr 2019
    Breaking down data science with Python, Spark and Optimus. Today: Data Operations for Data Science. Here we’ll learn to set-up Git, Travis CI and DVC for our project.
  • Data Science with Optimus Part 1: Intro - 15 Apr 2019
    With Optimus you can clean your data, prepare it, analyze it, create profilers and plots, and perform machine learning and deep learning, all in a distributed fashion, because on the back-end we have Spark, TensorFlow, Sparkling Water and Keras. It’s super easy to use.
  • Silver BlogLearn How to Listen: One of the hardest parts of being a data scientist - 15 Feb 2019
    Listen, Be Humble, Be Present and Transform ideas. A Data Scientist will spend a large amount of their time in meetings where you can understand the business, the goals of the area, their KPIs, and their requirements.
  • 2018’s Top 7 R Packages for Data Science and AI - 22 Jan 2019
    This is a list of the best packages that changed our lives this year, compiled from my weekly digests.
  • Gold Blog2018’s Top 7 Python Libraries for Data Science and AI - 21 Jan 2019
    This is a list of the best libraries that changed our lives this year, compiled from my weekly digests.
  • Silver BlogOntology and Data Science - 16 Jan 2019
    In simple words, one can say that ontology is the study of what there is. But there is another part to that definition that will help us in the following sections, and that is ontology is usually also taken to encompass problems about the most general features and relations of the entities which do exist.
  • Deep Learning for the Masses (… and The Semantic Layer) - 30 Nov 2018
    Deep learning is everywhere right now, in your watch, in your television, your phone, and in someway the platform you are using to read this article. Here I’ll talk about how can you start changing your business using Deep Learning in a very simple way. But first, you need to know about the Semantic Layer.
  • Why do I Call Myself a Data Scientist? - 05 Oct 2018
    Claimed as the “sexiest job of the 21st Century” here I’ll discuss the reasons for my proclamation as a Data Scientist, beyond the hype.
  • Silver BlogAuto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code - 17 Aug 2018
    Auto-Keras is an open source software library for automated machine learning. Auto-Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.
  • Manage your Machine Learning Lifecycle with MLflow  –  Part 1 - 05 Jul 2018
    Reproducibility, good management and tracking experiments is necessary for making easy to test other’s work and analysis. In this first part we will start learning with simple examples how to record and query experiments, packaging Machine Learning models so they can be reproducible and ran on any platform using MLflow.

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