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Why are machine learning algorithms so confusing?

I understand basic programming, but machine learning algorithms still confuse me. They all seem similar until I read more about them. While looking for study ideas, I found discussions about machine learning algorithm assignment help, but I'm searching for better explanations instead. Did diagrams, videos, or practical coding examples help you understand algorithms? Which algorithm was the easiest to learn first? I'd appreciate recommendations for beginner-friendly resources that explain concepts in simple language.