Data Science

Data Science | News, how-tos, features, reviews, and videos

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Jupiter and its four planet-size moons, in their relative positions but not to scale; 1998/Voyager 1


Mozilla brings Python data science to the browser

Pyodide project uses Emscripten and WebAssembly to run Python and its data science libraries in any major browser

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Review: Google Cloud AutoML is truly automated machine learning

Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming

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5 reasons data science belongs in the cloud

Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go

Jupiter's Great Red Spot and its surroundings was obtained by Voyager 1 on Feb. 25, 1979 [NASA/JPL]

Python tutorial: Get started with Jupyter Notebook

Learn how to combine Python code, freeform text, mathematical formulas, and graphics in an interactive, shareable notebook

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Guided automation for machine learning

Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform

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How to automate machine learning

KNIME’s blueprint for guided automation allows business analysts to train, test, and tune machine learning models via web browser

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Review: MXNet deep learning shines with Gluon

With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models

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How to use Knime for data science

Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows

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Microsoft revamps machine learning tools for Apache Spark

The new open source release integrates Spark with Cognitive Toolkit and other Microsoft machine learning offerings

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Reshape data in R with the tidyr package

See how the tidyr R package’s gather and spread functions work. Plus a bonus look at labeling in ggplot2 with the directlabels package

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The best open source software for machine learning

InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning

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Why data science teams should operate like startups

Successful startups can teach data science teams a lesson or two.

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Microsoft adds Python support to Power BI

A preview feature allows Python scripts to be used as data sources and as a way to create visualizations in Power BI Desktop

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What’s new in TensorFlow machine learning

Google’s TensorFlow 2.0 beta is expected later this year, with a focus on improving performance and correcting mistakes in compatibility and continuity

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Why there are no shortcuts to machine learning

As long as companies understand that good data science takes time in an enterprise, and give these people room to learn and grow, they won’t need shortcuts

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What’s new in Julia: Version 1.0 is here

New package manager, better optimization debut in the first production release

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Julia tutorial: Get started with the Julia language

Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia

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Data is inherently messy. Is that really such a bad thing?

In an imperfect world, consider shifting your data quality mindset from “how do I clean all this up?” to “how do I make the most of this state of affairs?”

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