Machine Learning for Front-End Developers

Explore machine learning for front-end developers in this JSConf.Asia 2019 presentation by Charlie Gerard. Discover how recent advancements in tooling have made machine learning more accessible to developers with little to no experience. Learn about training and running machine learning algorithms and models directly in the browser, opening up new possibilities for JavaScript developers. Gain insights into various applications, tools, and resources, and witness practical examples and demos to kickstart your own machine learning experiments using JavaScript. Understand different types of machine learning algorithms, including supervised learning, and their applications in generating alt text, filtering content, and improving accessibility. Dive into code samples, explore the limits and ethical considerations of machine learning, and get inspired to incorporate these techniques into your front-end development projects.

Intro
EXAMPLES OF ALGORITHMS
TYPES OF MACHINE LEARNING ALGORITHMS
SUPERVISED LEARNING
GENERATING ALT TEXT
FILTERING UNWANTED CONTENT
ACCESSIBILITY
WHY
WHAT CAN YOU DO
TOOLS
RECYCLING
THE TEACHABLE KEYBOARD
THE WILLY DETECTOR
PROCESS
CODE SAMPLE
LIMITS
ETHICS
INSPIRATION