Leveling Up in Machine Learning: Charting a Course Beyond the Basics
research#deep learning📝 Blog|Analyzed: Mar 22, 2026 19:32•
Published: Mar 22, 2026 19:19
•1 min read
•r/learnmachinelearningAnalysis
It's exciting to see learners diving deep into areas like Deep Learning and Computer Vision, which are rapidly evolving fields. This self-driven approach highlights the passion for machine learning and the eagerness to push the boundaries of current knowledge. This journey underscores the continuous learning required in the ever-changing AI landscape.
Key Takeaways
- •The user has a solid foundation in fundamental machine learning models.
- •The individual is eager to further their learning in areas like Deep Learning and Computer Vision.
- •The post highlights the common challenges of navigating advanced topics in a self-taught environment.
Reference / Citation
View Original"I know basic stuff like - the basic models (linear, logistic, SVM etc), neural networks, CNNs, Transformers, ViT, YOLO but now I'm feeling kinda stuck on what to learn, or how to proceed really?"