This video goes through five of my favourite resources for getting a machine learning job.
Blog post version of this video (with all links) - [ Ссылка ]
Links mentioned (in order):
1. Learn in Public by Swyx - [ Ссылка ]
2. You Don't Really Need Another MOOC by Eugene Yan - [ Ссылка ]
3. Start the job before you have it by Daniel Bourke - [ Ссылка ]
4. What we look for in a resume by Chip Huyen - [ Ссылка ]
5. Machine Learning Interviews Book by Chip Huyen - [ Ссылка ]
6. So good they can't ignore you by Cal Newport - [ Ссылка ]
Other links:
Learn AI/ML (beginner-friendly course) - [ Ссылка ]
Learn TensorFlow - [ Ссылка ]
Learn PyTorch - [ Ссылка ]
AI/ML courses/books I recommend - [ Ссылка ]
Read my novel Charlie Walks - [ Ссылка ]
Connect elsewhere:
Web - [ Ссылка ]
Twitter - [ Ссылка ]
Twitch - [ Ссылка ]
ArXiv channel (past streams) - [ Ссылка ]
Get email updates on my work - [ Ссылка ]
The style of this video is inspired by @Fireship videos.
#ai #machinelearning
