I was not aware of the Machine learning specialisation course and started with deep learning specialisation first. I have completed 1st courses and am able to understand the topics.
Do i necessarily need to go back and do MLS first or i can continue with DLS Course no 3.
I think you cover most of the MLS C1 and C2 by completing DLS C1 and DLS C3. What you may miss from MLS C1 and C2 is Andrew’s beginner-friendly way of explaining the concepts behind Neural Network and Machine Learning. When I started DLS, there was simply no MLS, so I think MLS is not a must-have.
My recommendation is to continue with DLS, and if time permits, watch the MLS videos to reinforce your understanding.
MLS C3 covers more application-oriented topics:
Without Neural Networks: K-means, Anomaly detection with Gaussian distributions
With Neural Networks: Collaborative filtering, content-based filtering, Reinforcement learning
However, these are not prerequisite for DLS, so you can decide if and when to take them.
Reinforcement Learning (RL) is a fascinating topic. You might have heard of it because advanced RL is used to train today’s large language models. MLS covers its basics with interesting exercises involving a simulated Moon rover.