I’d also add @roboflow into the mix of my favourite up and coming ML companies.
People like people.
Roboflow are making things and sharing ideas directly from the engineers/founders.
It’s good to relate to the people behind the product.
Not to mention the memes throughout this post are worth their weight in gold.
This one describes perfectly describes my last 3 years online (except replace Twitter w/ YouTube).
Note for myself going forward: leverage product off media/community base.
Great lessons in the post for up and coming ML startups:
- Build community
- Spend less time interacting with the competition & more time interacting with people who use your creations
- ML is becoming easier (frameworks, etc) so don’t count on SOTA as your special sauce
Also great tips for those looking for a job
- contribute to open source
- publish your work (words/code)
- get involved with a community of some kind
“Start the job before you have it“
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1. 🤔 Problems - some of the main use cases for ML. 2. ♻️ Process - what does a solution look like? 3. 🛠 Tools - how can you build your solution? 4. 🧮 Math - ML is applied mathematics, what kind? 5. 📚 Resources - where to learn the above.
3/ Although very colorful, at first glance, the map can be very intimidating.
So there's a video walkthrough to go along with it:
We start with a high level overview which answers questions like "what is machine learning good for?"