Like the old saying goes "Learning is a Process". The same is true for
machines that have the ability to learn. In Elixir, we think in terms of
processes. These processes are the secret to our ability to do very complex
tasks in a concurrent fashion. In this post we are going to explore
learning rules for a Neural Network, and how these learning rules can be
modeled and taught to Elixir processes behaving as neurons.
It’s been a while since I have had a full-blown, this is really truly nutso, case of Imposter Syndrome. I’m having one now, so I want to pull it apart and see what makes it tick.
This course teaches the ubiquitous abstractions for modeling pure functional programs. Functional languages have adopted these algebraic constructs across the board as a way to compose applications in a principled way.
We can do the same in JavaScript. While the subject matter will move beyond the functional programming basics, no previous knowledge of functional programming is required. You'll start composing functionality before you know it.
What if your job didn’t control your life? Brazilian CEO Ricardo Semler practices a radical form of corporate democracy, rethinking everything from board meetings to how workers report their vacation days (they don’t have to). It’s a vision that rewards the wisdom of workers, promotes work-life balance — and leads to some deep insight on what work, and life, is really all about. Bonus question: What if schools were like this too?
Brendan Eich, founder of Brave and creator of JavaScript, joined the show to talk about the history of the web, how it has been funded, and the backstory on the early browser wars and emerging monetization models. We also talked about why big problems are hard to solve for the Internet and the tradeoffs between centralization and distribution.
Wi-Fi is amazing, but there's no denying that all those hours of Netflix binging and scrolling Facebook can be a real energy suck, rapidly draining your phone's battery life.