this post was submitted on 27 Nov 2023
1 points (100.0% liked)
Machine Learning
1 readers
1 users here now
Community Rules:
- Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
- Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
- Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
- Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
r/learnmachinelearning
Get up to speed with probability, linear algebra and calculus 1 at the minimum.
Start with Python
Once you feel comfortable in both, start learning ML :)
When all you do is practice maths for long periods of time, it demotivates to continue your learning, especially if you come from a non-quantitative field. My advice is to spend some time playing with ML in parallel too. Hands on practice is both fun and useful even if you don't quite understand every single thing you're doing.