Tag: machine learning
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Simpler workflow tools enable the rapid deployment of models
[A version os this post appears on the O’Reilly Strata blog.] Data science often depends on data pipelines, that involve acquiring, transforming, and loading data. (If you’re fortunate most of the data you need is already…
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Python data tools just keep getting better
[A version of this post appeared on the O’Reilly Strata blog.] Here are a few observations inspired by conversations I had during the just concluded PyData conference1. The Python data community is well-organized: Besides conferences (PyData,…
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Data Science Tools: Fast, easy to use, and scalable
[A version of this post appears on the O’Reilly Strata blog.] Here are a few observations based on conversations I had during the just concluded Strata Santa Clara conference. Spark is attracting attention I’ve written numerous…
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MLbase: Scalable Machine-learning made accessible
[Cross-posted on the O’Reilly Strata blog.] In the course of applying machine-learning against large data sets, data scientists face a few pain points. They need to tune and compare several suitable algorithms – a process that…