This video goes through five of my favourite resources for getting a machine learning job.
Blog post version of this video (with all links) – https://www.mrdbourke.com/get-a-machine-learning-job
Links mentioned (in order):
1. Learn in Public by Swyx – https://www.swyx.io/learn-in-public
2. You Don’t Really Need Another MOOC by Eugene Yan – https://eugeneyan.com/writing/you-dont-need-another-mooc/
3. Start the job before you have it by Daniel Bourke – https://www.mrdbourke.com/how-can-a-beginner-data-scientist-like-me-gain-experience/
4. What we look for in a resume by Chip Huyen – https://huyenchip.com/2023/01/24/what-we-look-for-in-a-candidate.html
5. Machine Learning Interviews Book by Chip Huyen – https://huyenchip.com/ml-interviews-book/
6. So good they can’t ignore you by Cal Newport – https://www.amazon.com.au/Good-They-Cant-Ignore-You/dp/1455509124
Other links:
Learn AI/ML (beginner-friendly course) – https://dbourke.link/ZTMMLcourse
Learn TensorFlow – https://dbourke.link/ZTMTFcourse
Learn PyTorch – https://dbourke.link/ZTMPyTorch
AI/ML courses/books I recommend – https://www.mrdbourke.com/ml-resources/
Read my novel Charlie Walks – https://www.charliewalks.com
Connect elsewhere:
Web – https://dbourke.link/web
Twitter – https://www.twitter.com/mrdbourke
Twitch – https://www.twitch.tv/mrdbourke
ArXiv channel (past streams) – https://dbourke.link/archive-channel
Get email updates on my work – https://dbourke.link/newsletter
The style of this video is inspired by @Fireship videos.
#ai #machinelearning
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