Data Science
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The best new features in Python 3.8
From a powerful new assignment syntax to under-the-hood overhauls, Python 3.8 steps toward a more modern Python codebase
Reinforcement learning explained
Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently
What is machine learning? Intelligence derived from data
Machine learning algorithms learn from data to solve problems that are too complex to solve with conventional programming
Machine learning algorithms explained
Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem
What is Jupyter Notebook? Data analysis made easier
Jupyter Notebook combines live code, graphics, visualizations, and text in shareable notebooks that run in a web browser
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
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
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]](https://images.idgesg.net/images/article/2019/02/nasa_pia00014_jupiter_great_red_spot_obtained_by_voyager_1_1979_02_25_3x2-100787333-small.3x2.jpg)
Python tutorial: Get started with Jupyter Notebook
Learn how to combine Python code, freeform text, mathematical formulas, and graphics in an interactive, shareable notebook
Guided automation for machine learning
Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform
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
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
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
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](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-small.3x2.jpg)
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
The best open source software for machine learning
InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning
Why data science teams should operate like startups
Successful startups can teach data science teams a lesson or two.
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
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
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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