Category: Data Science
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Bits from the Data Store
Semi-regular field notes from the world of data (gathered from Scifoo 2014): Filtergraph and the power of visual exploration: A web-based tool for exploring high-dimensional data sets, Filtergraph came out of the lab of Astrophysicist Keivan…
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Scaling up Data Frames
New frameworks for interactive business analysis and advanced analytics fuel the rise in tabular data objects [A version of this post appears on the O’Reilly Radar blog.] Long before the advent of “big data”, analysts were…
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What’s New in Scikit-learn 0.15
Python has emerged as one of the more popular languages for doing data science. The primary reason is the impressive array of tools (the “Pydata” stack) available for addressing many stages of data science pipelines. One…
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Bits from the Data Store
Semi-regular field notes from the world of data: Tucked away in the community room at the recent GraphLab conference, I took a few people to a demo by Graphistry, a startup that lets users visually interact…
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Deep Learning for Hackers
How do you get started using Deep Learning? In a previous post, I noted how many of the tools and best practices are locked away in “oral traditions” shared among practitioners. But recently, open source tools…
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PredictionIO: an open source machine learning server
PredictionIO a startup that produces an open source machine learning server, has raised a seed round of $2.5M. The company’s engine allows developers to quickly integrate machine learning into products and services. The company’s machine learning…
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Databricks Cloud makes it easier to build Data Products
Here is a link to Ali Ghodsi’s talk and demo that took the Spark Summit by storm. The demo really captures the power of Databricks Cloud: complex, high-performance, big data analytics at massive scale, accessible to…
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There are many use cases for graph databases and analytics
Business users are becoming more comfortable with graph analytics [A version of this post appears on the O’Reilly Radar blog.] The rise of sensors and connected devices will lead to applications that draw from network/graph data…
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Scalable Data Science on a Laptop
I’ll be hosting a webcast featuring one of Strata’s most popular speakers: machine-learning expert, Alice Zheng Here is what data science looks like today: 1. Munge some data: a. Process raw data. Stuff it into a…
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Streamlining Feature Engineering
Researchers and startups are building tools that enable feature discovery [A version of this post appears on the O’Reilly Data blog.] Why do data scientists spend so much time on data wrangling and data preparation? In…