How to choose the first machine learning project for your organization
sari and added
3 years ago I struggled to land my first freelance ML engineering contract.
Then I discovered this β
Building one professional real-world ML project is the best way to stand out from the crowd, and land an ML job.
And here is how you can do it, step-by-step π©βπ»π¨π½βπ»β
Step 1. Find a real-world problem you are interested in
Working on projects is har... See more
Then I discovered this β
Building one professional real-world ML project is the best way to stand out from the crowd, and land an ML job.
And here is how you can do it, step-by-step π©βπ»π¨π½βπ»β
Step 1. Find a real-world problem you are interested in
Working on projects is har... See more
Feed | LinkedIn
The first rule of machine learning:
Do not start with machine learning.
Unfortunately, to a hammer, everything looks like a nail.
Whenever I get a call from a company to help them, they have already made their mind up: they want to use machine learning. It's always tempting to start the conversation there. Yet, machine learning is usually not th... See more
Nathan Storey added
From a software maintenance perspective there is little consensus on how to organize ML projects. It feels like websites before Rails came out: a bunch of random PHP scripts with an unholy mixture of business logic and markup sprinkled throughout.
tinyclouds.org β’ Google Brain Residency
Jimmy Cerone added
.pocket Wow. Still the same today. Big opportunity. Though folks like Hugging Face are starting to change this.
Disruptors reading this today, look to that top right quadrant. Those are the low-hanging, productizable fruit.
One bonus consideration: Itβs worth studying the services that have high failure rates and been difficult to perform in the past. Can AI do much better? Then itβs worth pursuing.
One bonus consideration: Itβs worth studying the services that have high failure rates and been difficult to perform in the past. Can AI do much better? Then itβs worth pursuing.
The Death of the Big 4: AI-Enabled Services Are Opening a Whole New Market
Nicolay Gerold added
Here's exactly how I approach building AI side projects in 6 steps: 1. Think of an idea that excites me but that is very simple. I should be able to describe it in 5 words to anyone. 2. Take a weekend and block it off entirely to focus on building the app. I'll generally take 15-30 hours to build an initial version. 3. Try to incorporate the latest... See more
Hassan El Mghari β’ Tweet
Luc Cheung added