vunderkind

If you're reading this, I shared it with you — directly or indirectly — which suggests you're in the general space of people studying to become ML engineers as quickly as possible.

My earliest observation is people accidentally sabotage themselves by thinking it will be too easy, or too hard.

People who think it'll be easy plan to make this transition in 3 months. Six, for some. I recommend a year of conscientious grinding, especially if — like me — your math is completely nonexistent. 

If I had to streamline the path, I'd say you need to:

1. Pick up a framework (like Tensorflow or Keras) and get really good at it. This is probably more important than math, when you're starting out.

vunderkind

My query:
Thoughts on conversation?
@xylemic do iq tests test intelligence or mental fatigue? (or does it accidentally test mental fatigue? how many people are just selecting random options after the first n questions?)
@alephile Either way this ends up meaning this is what intelligence is: can you endure problem solving sprints?
@xylemic is that what intelligence is? can a stupid person not endure problem solving sprints? (ie, working at 100% mental capacity to get all problems wrong, without ever breaking a sweat?)


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vunderkind

async function invokeFetch(context) {
  console.log(context)
  const { documentUrl } = context;

  return await fetch(`https://google.com`)
}


const DocMachine = Machine({
  id: 'doc-chat',

vunderkind

let company = { // the same object, compressed for brevity

sales: [{name: 'John', salary: 1000}, {name: 'Alice', salary: 1600 }],

development: {

sites: [{name: 'Peter', salary: 2000}, {name: 'Alex', salary: 1800 }],

internals: [{name: 'Jack', salary: 1300}]