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

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