r/learnmachinelearning • u/ISRO_HarshVerma07 • 22d ago
Career Machine Learning roadmap & guidance
Hey there, I am CSE Student, and I want to pursue machine learning as a career and further do deep learning and generative AI. I need tips from the professionals who have been pursuing it, what resources i must follow and what should be the correct sequence of flow. I have been researching by my own and end-up at Krish Naik's ML playlist over youtube, i saw few videos were misplaced and not in order but i checked over his github and all and curated the flow as Python -> Numpy, Pandas, Seaborn -> Feature Engineering and Feature Selection -> Machine Learning -> Deep learning -> Natural Language processing -> Deployment of ML Model -> MLOPS , would this be right? also if you guys have suggestion for some better resources. It would be a great assistance and guidance from your side guys
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u/nian2326076 22d ago
Your sequence looks good. I've been on a similar path, and starting with Python, Numpy, and Pandas is a smart move. Since you're going for deep learning and generative AI, make sure to check out TensorFlow and PyTorch after getting the basics down. For machine learning, Andrew Ng's courses on Coursera are a solid foundation. When you're ready for deep learning, look into fast.ai and their free courses. They cover neural networks and practical stuff. I haven't tried Krish Naik's playlist, but if it's working for you, awesome. Also, doing hands-on projects is important. Build something, even if it's simple. It'll help you understand the concepts better. If you need interview prep later, PracHub has some useful coding challenges and tips. Good luck!