In this video, UX design pro Jen Matson shows you how to identify, acquire, and analyze data that not only tells you WHAT your users do when they use your products, but WHY they do it. Understanding the WHY, says Matson, is the key to better design.
Michael Radwin prepares a recipe for applying design thinking to the development of AI/ML products. These lessons blending data science and design thinking can be applied to products that leverage supervised and unsupervised machine learning models, as well as “old-school” AI expert systems.
If nothing else, by the end of this video course you will have analyzed a number of datasets from the wild, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. And along the way you learn the best practices and computational techniques used by a professional data scientist.
Led by design pro Gretchen Anderson, this video covers the basics of DT. She takes you through a series of exercises that illustrate DT's techniques and benefits, providing you with a recipe you can use to get your team quickly started with the DT approach.
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Video clips on a variety of subject areas including art and architecture, environmental science, health and social sciences, technology and trades. The videos are copyright cleared for classroom use at Algonquin College.
Up-to-date video tutorials on a wide range of skills such as software development, design, and business, and software such as Adobe Creative Cloud programs (Photoshop, Illustrator, etc), Microsoft Office, and WordPress. To create your account and learn about LinkedIn Learning, view the LinkedIn Learning Guide.