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-machi...

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-don...
3. Start the job before you have it by Daniel Bourke - https://www.mrdbourke.com/how-can-a-b...
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/ml-interviews-b...
6. So good they can't ignore you by Cal Newport - https://www.amazon.com.au/Good-They-C...

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 -   / mrdbourke  
Twitch -   / 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