Outstanding post by @marksaroufim

He put into words something I’ve been thinking but didn’t quite know why.

@huggingface & @weights_biases are two of my favourite ML companies.

Why?

Because like @fastdotai...

They create community.
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. Gaussian plot with disturbed ML product manager at the mean
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“ A community is a recruiters hack, hire the top contributors

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Daniel Bourke

Daniel Bourke Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @mrdbourke

31 Jul 20
1/ Introducing the 2020 #machinelearning roadmap:

An interactive mindmap which connects many (not all) of the most important concepts in machine learning.

Map: dbourke.link/mlmap
Video walkthrough:
Accompanying slides: github.com/mrdbourke/mach… machine learning mindmap th...
2/ In the map you'll find 5 branches:

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?" what is machine learning go...
Read 13 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!