GUIDE TO OPEN-SOURCE TOOLS & LIBRARIES FOR DATA SCIENCE AND MACHINE LEARNING

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The world of open-source tools and libraries is vast and difficult to navigate. With hundreds of thousands of packages available for unique purposes, how do you know where to look for what you need?

Our guide to open-source tools will help any newcomer get started, and if you’re a veteran data scientist, you may discover some helpful tools you didn’t know about. Download Anaconda’s Guide to Open Source to start exploring.

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According to Gartner, “Over 50% of data science projects never get deployed,” and, “bad storytelling is a major reason for this.” Data scientists often struggle with storytelling in an ongoing effort to garner project acceptance and participation from other parts of the business. We believe these four storytelling strategies from Gartner will help data scientists to increase commitment from IT and business stakeholders for their projects.

Learn how to get the resources you need to make your department successful.

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