Spark Summit: Ignition in the Enterprise
We are excited to announce for Spark Summit 2017 in San Francisco, Edd Wilder-James will be joining Reynold Xin as co-chair of the Spark Summit program.
Posts Tagged ‘Data science’
Four Data Capabilities for Telecommunications
This post looks at four business analysis capabilities that connect the dots between promising applications of data assets for telecommunications companies.
Building Tech Communities
In this interview, Travis talks about how to balance enterprise and open source, as well as what it takes to build a community.
The Value of Exploratory Data Analysis
In this post, we will give a high level overview of what EDA typically entails and then describe three of the major ways EDA is critical to successfully model and interpret its results.
How to Navigate the Jupyter Ecosystem
In this post, we’ll be talking through a few tools that help make data science teams more productive.
Open Source Toolkits for Speech Recognition
This article reviews the main options for free speech recognition toolkits that use traditional HMM and n-gram language models.
Breaking Down Communication Barriers in Tech
Travis and I discuss breaking down silos, the importance of effectively communicating about cutting-edge technology, and where Anaconda is going next.
Analyzing Caltrain Delays
In this post, we will explore some aspects of the train delay data we’ve been collecting from the Caltrain API.
Getting Started with Deep Learning
One way to give back to the open source community that provides us with tools is to help others evaluate and choose those tools in a way that takes advantage of our experience. We offer this analysis, along with explanations of the various criteria upon which we based our decisions.