Machine Learning in the Browser

Explore the cutting-edge world of machine learning in web browsers through this illuminating conference talk from ML Conference 2018. Discover how recent advancements in web technologies are revolutionizing the field of machine learning, extending its capabilities beyond traditional scientific computing environments. Learn about state-of-the-art libraries for high-performance linear algebra, statistical computing, and neural networks specifically designed for browser-based applications. Gain insights into the impact of evolving web standards on the rise of these libraries and their role in accelerating the adoption of browser-based machine learning. Benefit from practical lessons learned during the implementation of machine learning algorithms for web applications, including common pitfalls, portability issues, and performance optimization techniques. Prepare to embrace the next big revolution in machine learning, all from within your web browser, as speaker Athan Reines from stdlib guides you through this exciting new frontier.