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Patrick Hebron

Machine Learning for Designers

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Using tangible, real-world examples, author Patrick Hebron explains how machine-learning applications can affect the way you design websites, mobile applications, and other software. You'll learn how recent advancements in machine learning can radically enhance software capabilities through natural language processing, image recognition, content personalization, and behavior prediction.
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111 printed pages
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Impressions

  • yourjackyshared an impression5 years ago
    🎯Worthwhile

    The book has two logical parts:
    1. ML fundamentals (It doesn’t have many examples or design-related content).
    2. Design principles and emerging best practices.
    Even though it focuses more on conversational ML and chats, the principles of the book can be applied anywhere. I appreciate the chapter about prototyping the most.
    I’d recommend this book to designers and PM who are starting to work with AI.

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    Quotes

    • yourjackyhas quoted5 years ago
      Going further, image tagging and image description systems are used to generate keywords or a sentence that describes the contents of an image (see Figure 1-12). These technologies can be used to aid image-based search processes as well as assist visually impaired users to extract information from sources that would be otherwise inaccessible to them.
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      • yourjackyhas quoted5 years ago
        expressive limitations of traditional input devices such as the keyboard and mouse, opening an entirely new set of interaction paradigms that will allow users to communicate ideas in ever more natural and intuitive ways.
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        • Oleghas quoted7 years ago
          Whatever services these systems may offer, they are only valuable to us if they work consistently.
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