Data Science and Databases

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Understanding Twitter Dynamics With R and Gephi: Text Analysis and Centrality

Centrality and text analysis allow users to get more out of their social network data. Here’s how you can leverage them using R and Gephi.

12 minute readContinue Reading
Juan Manuel Ortiz de Zarate

Juan Manuel Ortiz de Zarate

Juan is a developer, data scientist, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, and NLP. Juan has more than a decade of data science experience and has published papers at ML conferences, including SPIRE and ICCS.

A Deeper Meaning: Topic Modeling in Python

Colloquial language doesn’t lend itself to computation. That’s where natural language processing steps in. Learn how topic modeling helps computers understand human speech.

8 minute readContinue Reading
Federico Albanese

Federico Albanese

Federico is a developer and data scientist who has worked at Facebook, where he made machine learning model predictions. He is a Python expert and a university lecturer. His PhD research pertains to graph machine learning.

Social Network Analysis in R and Gephi: Digging Into Twitter

Thanks to rapid advances in technology, large amounts of data generated on social networks can be analyzed with relative ease, especially for those who use the R programming language and Gephi.

9 minute readContinue Reading
Juan Manuel Ortiz de Zarate

Juan Manuel Ortiz de Zarate

Juan is a developer, data scientist, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, and NLP. Juan has more than a decade of data science experience and has published papers at ML conferences, including SPIRE and ICCS.

Serve Map Clusters 50x Faster Using Smarter Caching

Serving map clusters to a mobile app can cause a significant performance bottleneck. Fortunately, it’s a problem that can be solved with this caching strategy.

8 minute readContinue Reading
Florian Pfisterer

Florian Pfisterer

Florian is a back-end software engineer who has architected and scaled several apps and REST APIs on AWS using Redis, SQL, and Node.js. He was the lead software engineer at Playsports after it acquired a startup he had co-founded.

Ensemble Methods: The Kaggle Machine Learning Champion

Two heads are better than one. This proverb describes the concept behind ensemble methods in machine learning. Let’s examine why ensembles dominate ML competitions and what makes them so powerful.

9 minute readContinue Reading
Juan Manuel Ortiz de Zarate

Juan Manuel Ortiz de Zarate

Juan is a lecturer at the University of Buenos Aires. His research focuses on AI, NLP, and social networks. He has more than a decade of data science experience and he’s published papers at ML conferences, including SPIRE and ICCS.

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Graph Data Science With Python/NetworkX

Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze “graph theory” datasets.

9 minute readContinue Reading
Federico Albanese

Federico Albanese

Albanese is a developer and data scientist who has worked at Facebook, where he made machine learning model predictions. He is a Python expert and a university lecturer. His PhD research pertains to graph machine learning.

How to Approach Writing an Interpreter From Scratch

How source code becomes a running program is often opaque: “Just run the compiler” is all that developers normally need to know.

Writing an interpreter from scratch—including its lexer and parser—is an illuminating challenge.

13 minute readContinue Reading
Sakib Hadžiavdić

Sakib Hadžiavdić

A back-end expert, Sakib is the creator of the static site generator Hepek. Always learning, he writes tutorials in English and Bosnian.

Toptal Engineering Expert

Gabriel Courtemanche

Gabriel is a highly efficient and reliable professional who possesses a broad skill set for web application development. He's been working on a range of products and clients—from working on scalability problems in production engineering teams at Shopify and Autodesk to launching new applications for startups. Most of his work consists of leading technical teams, by creating an easy development environment, fixing technical debts, providing best practices code examples, and mentoring devs.
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