Crossing the Development to Production Divide
In this post we’ll give an overview of obstacles we’ve faced (you may be able to relate) and talk about solutions to overcome these obstacles.
Posts Tagged ‘Technical’
Learning from Imbalanced Classes
For this month’s Throwback Thursday, a post that provides insight and concrete advice on how to tackle imbalanced data.
Handling Small Files in MapR-FS
In this post, we will discuss how dealing with small files is different if you are using MapR-FS rather than the traditional HDFS installation.
Themes from JupyterCon 2017
This past August was the first JupyterCon—an O’Reilly-sponsored conference around the Jupyter ecosystem, held in NYC. In this post we look at the major themes from the conference, and some top talks from each theme.
Data Ingestion with Spark and Kafka
In this tutorial, we will walk you through some of the basics of using Kafka and Spark to ingest data.
Mind Reading: Using Artificial Neural Nets to Predict Viewed Image Categories From EEG Readings
Earlier this year, YCombinator-backed startup DeepGram hosted a deep learning hackathon. This post describes the winning project.
Exploratory Data Analysis in Python
We summarize the objectives and contents of our PyCon tutorial, and then provide instructions for following along so you can begin developing your own EDA skills.
Getting Started with Predictive Maintenance Models
In this post, we’ll start to develop an intuition for how to approach the remaining useful life (RUL) estimation problem and take the first steps in modeling RUL.
Managing Spark and Kafka Pipelines
In this post, we will cover some of the basics of monitoring and alerting as it relates to data pipelines in general, and Kafka and Spark in particular.