Get started with cloud-based data science
Learn how to deploy machine learning solutions using Azure ML.
Big Data Tools and Pipelines
Ideas and resources related to data tools.
New York Startup Showcase reveals what’s needed in the data industry
Collaboration and data security tools win the day.
A/B Testing: a checklist
Lisa Qian lays out the process for a successful A/B test, from defining a goal and hypothesis, to knowing when to end the test. The most rigorous form of data-gathering when done right, A/B tests can't be run by guesswork or gut instinct.
Understanding YARN’s architecture and daemons
In the new O’Reilly video training "Introduction to Hadoop YARN," David Yahalom explains everything you need to know about using this new data processing platform to extend Hadoop’s potential. In this segment, Yahalom explains YARN’s architecture and daemons.
Kudu: Resolving transactional and analytic trade-offs in Hadoop
Todd Lipcon investigates the trade-offs between real-time transactional access and fast analytic performance. He also describes Kudu, the new addition to the open source Hadoop ecosystem that fills the storage gap.
Mapping big data
A data-driven market report.
Showcasing the real-time processing revival
Tools and learning resources for building intelligent, real-time products.
Apache Spark 1.3 and Spark’s New Dataframe API
Patrick Wendell from Databricks discusses Spark's new 1.3 release, which brings extensions to all of Spark's major components along with a new cross-cutting Dataframes API.
Data visualization with Seaborn
Seaborn provides an API on top of matplotlib, which uses sane plot and color defaults and simple functions for common statistical plot types.
From Scattered to Scatterplot in 2 Hours: An Introduction to d3.js
Confused by D3? Interested in coding data visualizations on the web, but don't know where to start? This online tutorial will have you transforming data into visual images in no time at all.
Let’s build open source tensor libraries for data science
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries.
Making a scatterplot with D3.js
The scatterplot is a common type of visualization that represents two sets of corresponding values on two different axes.
Analyzing Data with Python
In this webcast led by Sarah Guido, you'll get a bird's eye overview of some of the best tools for data analysis and how you can apply them to your workflow.
Data, Crime, and Conflict
Can data and connectivity improve criminal justice and mitigate conflicts?