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Machine Learning for Designers

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Machine Learning for Designers
Machine Learning for Designers: An Introduction to the Core Technologies of Machine Learning and the Emerging Opportunities for ML-enhanced Design
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 2.3 hours | 620 MB
Instructor: Patrick Hebron

Recent advances in machine learning (ML), natural language processing, image recognition, content personalization, and behavior prediction are radically changing the capabilities of software and the interfaces people use to interact with that software.

This course provides an insider's look at contemporary ML technologies and how these technologies are transforming the next generation of computing interfaces for search engines, intelligent assistants, connected homes, and open-world video games. Created for designers new to the world of machine learning, the course provides an explanation of the basic concepts of ML, offers a hands-on introduction to ML's core toolsets, and surveys the upcoming opportunities for designers with ML skills.

Understand what machine learning and deep learning really mean; and their impacts on UX/UI design
Learn how ML improves the ability to engage with and understand users
Discover how machine learning systems differ from traditional computing platforms
Learn to use Google's TensorFlow machine learning toolkit to build, train, visualize, and configure neural networks
Explore related development, deployment and workflow management toolsets: Docker, Launchbot, and Jupyter Notebooks
Gain hands-on ML experience by building a web app with a customized image recognition system

Machine Learning for Designers

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网友最新评论 (1)

  1. 设计师的机器学习 近来在ML领域的发展,如自然语言处理、图像识别、内容个性化以及行为预测大大地改变了人们过去与软件互动时,软件和界面的功能。 在本教程中,我们可以深入地了解最新的ML技术,以及这些技术是如何改变下一代搜索引擎、智能助理、智能家居以及开房世界视频游戏的计算界面的。本教程专为刚接触ML的设计师,讲解基本的ML概念,介绍实用的ML核心工具集,以及具有ML技术的设计师所面对的未来机遇。 主要内容:理解何为ML以及深度学习,以及对UX和UI设计的影响;学习ML如何提高对用户关注和理解的能力;了解ML系统与传统计算平台的差别;学习使用Google的TensorFlow ML工具开发、培训、可视化以及配置神经网络;探索相关开发、发展以及工作流程管理工具,如Docker、Launchbot和Jupyter Notebooks;通过使用定制的图像识别系统开发一个web应用,获得ML实战经验。
    wilde(特殊组-翻译)8个月前 (05-11)