Gradient Flow

Tag: pydata

  • Scikit-Learn 0.16

    I’ll be hosting a webcast featuring two of the key contributors to what is arguably one of the most popular machine learning tools today – scikit-learn: News from Scikit-Learn 0.16 and Soon-To-Be Gems for the Next…

  • Bits from the Data Store

    Semi-regular field notes from the world of data: Michael Jordan (“ask me anything”): The distinguished machine learning and Bayesian researcher from UC Berkeley’s AMPLab has an interesting perspective on machine learning and statistics. … while I…

  • Bits from the Data Store

    Semi-regular field notes from the world of data: Alibaba ♥ Spark: Next time someone asks you if Apache Spark scales, point them to this recent post by Chinese e-commerce juggernaut Alibaba. What particularly caught my eye…

  • 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…

  • 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…

  • Interface Languages and Feature Discovery

    It’s easier to “discover” features with tools that have broad coverage of the data science workflow [A version of this post appears on the O’Reilly Data blog and Forbes.] Here are a few more observations based…

  • Extending GraphLab to tables

    The popular graph analytics framework extends its coverage of the data science workflow [A version of this post appears on the O’Reilly Data blog and Forbes.] GraphLab’s SFrame, an interesting and somewhat under-the-radar tool was unveiled1…

  • What I use for data visualization

    [A version of this post appears on the O’Reilly Data blog.] Depending on the nature of the problem, data size, and deliverable, I still draw upon an array of tools for data visualization. As I survey…

  • IPython: A unified environment for interactive data analysis

    [A version of this post appears on the O’Reilly data blog and Forbes.] As I noted in a recent post on reproducing data projects, notebooks have become popular tools for maintaining, sharing, and replicating long data…

  • A compelling family of DSLs for Data Science

    [A version of this post appears on the O’Reilly Data blog.] An important reason why pydata tools and Spark appeal to data scientists is that they both cover many data science tasks and workloads (Spark users…