AI Best Practices

  1. Three layered circles labelled from inner to outer: deep learning, machine learning and AI
    AI Best Practices

    What’s the difference between AI, machine learning and deep learning?

    There are subtle differences between AI and its related fields: machine learning and deep learning. Let’s take a closer look at these terms.

  2. Illustration of hands reaching the globe
    AI Best Practices

    Four benefits of using crowdsourced data for machine learning

    Working with crowdsourced data vendors unlocks access to an inexpensive, scalable workforce. In this post, we describe key benefits of crowdsourcing data.

  3. Illustration of person reading with a book that prominently displays "A-Z" in the background
    AI Best Practices

    30 intermediate AI terms you should know

    This glossary defines general AI and machine learning terms.

  4. Hands holding a mobile phone that displays a map with location pins
    AI Best Practices

    How humans-in-the-loop improve map and navigation software

    Discover three critical ways human-annotated data improves map and navigation software.

  5. man at crossroads unsure of where to turn
    AI Best Practices

    How to select the right machine learning algorithm

    Discover seven key factors that can help you choose the best algorithm for a machine learning project.

  6. Cartoon of human looking at various documents and texts
    AI Best Practices

    What is optical character recognition (OCR)?

    Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.

Be the first to know

Get curated content delivered right to your inbox. No more searching. No more scrolling.

Subscribe now