How engineers and data scientists at Uber came together to come up with a means of partially replicating Vertica clusters to better scale our data volume.

Supervised machine learning is often described as the problem of approximating a target function that maps inputs to outputs.

This description is characterized as searching through and evaluating candidate hypothesis from hypothesis spaces.

The discussion…

Data Science projects on Github in python and R. In this article we cover machine learning, deep learning and programming projects.

In a selection of presentations delivered at a June 2019 Uber meetup, we discuss how to use H3, our open source hexagonal indexing system, to facilitate the granular mining of large geospatial data sets.

TL;DR; What happens if Deep Fakes become real time? Let’s try it!

The "Python Machine Learning (3rd edition)" book code repository - rasbt/python-machine-learning-book-3rd-edition

There is more to building a sustainable Deep Learning solution than what is provided by Deep Learning frameworks like TensorFlow and…

This tutorial will prepare you for some common questions you'll encounter during your data engineer interview. You'll learn how to answer questions about databases, ETL pipelines, and big data workflows. You'll also take a look at SQL, NoSQL, and Redis use…