How to start learning machine learning as a beginner
You can start without a degree in AI, but you need patience and a plan.
- Learn Python and basic mathematics: linear algebra, probability and statistics.
- Study the core ideas of supervised and unsupervised learning.
- Practise with datasets using libraries such as NumPy, pandas and scikit-learn.
- Build two or three small projects and explain them clearly.
- Then move to deep learning with a framework such as PyTorch or TensorFlow.
Understanding the basics is more valuable than collecting course certificates.
