Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Building reliable code, optimizing complex systems, and keeping things running smoothly. Always learning, always shipping. Big fan of clean design, clear logic, and a good challenge.

Ever thought about diving into the world of Artificial Intelligence (AI) but felt intimidated by the hefty price tags on courses? Well, Harvard University is offering a golden opportunity to get ...

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

With the latest season of the Overwatch League just two weeks away, audiences are curious as to how the pros will pick up the newest characters. Earlier this week, the Overwatch team revealed a brand ...

With the latest season of the Overwatch League just two weeks away, audiences are curious as to how the pros will pick up the newest characters. Last week, the Overwatch team showcased a short ...

Abstract: The volume of spatial data increases at a staggering rate. This tutorial comprehensively studies how existing works extend Apache Spark to uphold massive-scale spatial data. During this 1.5 ...

"Streaming is something that is rapidly advancing and changin fast, there are multipl enew libraries every year, new and different services always popping up, and what is in this notebook may or may ...

"# + ![Python Logo](http://spark-mooc.github.io/web-assets/images/python-logo ...