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This non-technical course is designed for AI/ML/DL aspirants, providing a clear roadmap to AI. It answers key questions like prerequisites for learning AI, how to start a Machine Learning project, the best programming language for AI, how much math is needed, and which tools or frameworks are most effective. Using real-world examples and simple language, it’s perfect for beginners without programming experience. By the end, you’ll have a clear understanding of what it takes to begin a career in AI/ML.
Note: This course doesn’t include coding—stay tuned for case studies with coding! Auto-captions are available, with manual updates coming soon. Free courses on prerequisites (math, programming, ML algorithms) will also be posted. Happy learning!
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1Introduction to Artificial Intelligence06:50
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2Programming and Mathematics Requirements07:26
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3Machine Learning Algorithms and AI Engine Requirements05:43
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4Introduction to Machine Learning07:47
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5Supervised Machine Learning07:16
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6Unsupervised Machine Learning05:16
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7Reinforcement Machine Learning08:24
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8Quiz10 вопросов
