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/getamachi...

Links mentioned (in order):
1. Learn in Public by Swyx https://www.swyx.io/learninpublic
2. You Don't Really Need Another MOOC by Eugene Yan https://eugeneyan.com/writing/youdon...
3. Start the job before you have it by Daniel Bourke https://www.mrdbourke.com/howcanab...
4. What we look for in a resume by Chip Huyen https://huyenchip.com/2023/01/24/what...
5. Machine Learning Interviews Book by Chip Huyen https://huyenchip.com/mlinterviewsb...
6. So good they can't ignore you by Cal Newport https://www.amazon.com.au/GoodTheyC...

Other links:
Learn AI/ML (beginnerfriendly 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/mlresources/
Read my novel Charlie Walks https://www.charliewalks.com

Connect elsewhere:
Web https://dbourke.link/web
Twitter   / mrdbourke  
Twitch   / mrdbourke  
ArXiv channel (past streams) https://dbourke.link/archivechannel
Get email updates on my work https://dbourke.link/newsletter

The style of this video is inspired by ‪@Fireship‬ videos.

#ai #machinelearning