synaptic

Three suggestions: 1. Embedded. The world is creating tons of new products with increasing levels of technological sophistication. Much of the libraries, tooling, and learning materials needed are yet to be created. Start with Arduino on the ESP32. 2. IoT security. Devices like the ESP8266 and ESP32 are quickly finding their way into many different applications, but as far as I know, no one has vetted their RTOS. This is dangerous because they are networked and difficult for consumers to understand in a tangible way. Likewise how can physical security be protected with these chips and others like it? 3. Machine learning. Be an early adopter and discover ways to use this new technology. There's a great-looking JS ML framework that you can use to get your feet wet without jumping to R, C++, or Python. https://github.com/cazala/synaptic

Fascinating. Many years ago, when I wanted to become a programmer and I didn't know anything about code, I used to fantasize and be amazed by programs. Code was like dark magic. This is how I feel today about machine learning. Neural networks, liquid state machines. It's wonderful voodoo to my eyes. I hope one day I get to work in that field, it seems so useful for solving big world problems. I have notice a definite rise in articles being written and shared on HN about it lately, that's great. For those completely in the dark, I found this library to have great wiki pages about the basics of neural network programming. Great read, I recommend it. https://github.com/cazala/synaptic/wiki/Neural-Networks-101