Should you learn machine learning? Yes, you should. But how? By avoiding being a donkey.
There is an abundance of machine learning resources out there, too many.
The good thing is, most of them are pretty good.
But remember, having too many options is the same as no options. Instead of trying to learn them all, pick something, use it, make something with it and if it doesn’t work, move onto the next thing.
If you’re stuck being a donkey, maybe the procrastination is a sign it’s time to move on or find a better option.
Thank you to Sk for sending through the article. If you’ve got something you want to be reviewed, send it through.
Don’t learn machine learning article – https://towardsdatascience.com/dont-learn-machine-learning-8af3cf946214
Building an X-ray classifier – https://blog.tensorflow.org/2020/03/using-tensorflowjs-to-deploy-radiology-based-image-search-application.html
Teachable machine – https://teachablemachine.withgoogle.com/
42 days: a cure for shiny object syndrome article – https://www.mrdbourke.com/42days/
My machine learning course – https://dbourke.link/mlcourse
Get email updates on my work – https://dbourke.link/newsletter
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