Slides on my introductory talk on immediate-reward RL. Covers the basics, ML reductions & evaluation.
A pretty good high-level explanation of the black-box problem found in e.g. neural networks.
With PowerPoint as well as its predecessors, the motif of the slide was, of course, lifted directly from the world of photography. Some presentation programs actually generated 35-mm slides for display with a slide projector. In most cases, though, the early programs created slides that were printed on paper for incorporation into reports, transferred to transparencies for use on overhead projectors, or saved as digital files to be displayed on computer monitors.
The best explanation I’ve ever read on blockchains.
Disclaimer: written by me. I feel that the production side of AI & machine learning gets too little attention; there are some special considerations when deploying models.
Grammarly makes sure everything you type is easy to read, effective, and mistake-free.
The services offers extensions for all major browsers, as well as a rather good desktop app.