How much of ML is needed before Deep Learning?

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I started learning ML a while back, and my goal is to be able to understand and contribute to what’s going on in today’s AI world. Though I understand that a strong foundation is important but how much of Machine Learning is required before moving on to Deep Learning? Is traditional Machine learning still that relevant in present times (from a jobs POV)?
Kindly guide me.

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Not much of it is needed for deep learning as long as you understand linear regression, some Python, and the maths behind it. I recommend the Deep Learning Specialisation here, or perhaps even do the Machine Learning Specialization first.

From what I see, yes, especially tree models, other types too, you need to have an understanding of them as well!

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Hi! I have been doing the deep learning specialization and I did not do the Machine Learning one. I did do AI for everyone, Gen AI for everyone and the linear algebra specialization, which helped a lot. I think it is important to know Python to, otherwise you won-t be able to do the TensorFlow exercises. Best of luck with your studies!

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