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  • Unleash a faster Python on your data
    • Get real per­for­mance results and down­load the free Intel® Dis­tri­b­u­tion for Python that includes every­thing you need for blazing-fast com­put­ing, ana­lyt­ics, machine learn­ing, and more. Use Intel Python with exist­ing code, and you’re all set for a sig­nif­i­cant per­for­mance boost.”
  • What is a Bayesian Neural Net­work?
    • A Bayesian neural net­work (BNN) refers to extend­ing stan­dard net­works with pos­te­rior inference.”
  • 2018 Machine Learn­ing Pre­dic­tions from the Experts Them­selves
    • As the data sci­ence com­mu­nity heads towards 2018, we asked our top speak­ers to com­ment on 2017’s most impact­ful achieve­ments in Arti­fi­cial Intel­li­gence and make a few pre­dic­tions for 2018. We sum­ma­rize the most notable insights in this post, and offer expert com­men­tary on the advance­ments, pre­dic­tions and lessons learned regard­ing machine learn­ing algo­rithms and deep learn­ing systems.”
  • Under­stand­ing com­mon mis­con­cep­tions about p-values
    • A p-value is the prob­a­bil­ity of the observed, or more extreme, data, under the assump­tion that the null-hypothesis is true. The goal of this blog post is to under­stand what this means, and per­haps more impor­tantly, what this doesn’t mean.”
  • Ana­lyz­ing tweets using Cloud Dataflow pipeline tem­plate
    The Dataflow pipeline graph
    The Dataflow pipeline graph
    • This post describes how to use Google Cloud Dataflow tem­plates to eas­ily launch Dataflow pipelines from a Google App Engine (GAE) app, in order to sup­port MapRe­duce jobs and many other data pro­cess­ing and analy­sis tasks.”