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Hello everyone!

After watching a data science course video, the instructors highlighted that data science might not be as technically as software development. This got me wondering about the significance of data structures in this field. I want to hear your thoughts and personal experiences. Do you think having a solid understanding of data structures is crucial for success in data science, or do you believe it's less important compared to other technical skills?

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Hey everyone!
I was watching an AI course and got stuck at the part about Deep Learning Frameworks around 02:56:17 in the video. I've tried other videos, but it's still confusing. Can someone explain it in an easy way with a real-life example? Thanks a lot!