Raw LLM Responses

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@fevad1246 what, im currently on 9:05:43 starting neural networks and I found all chapters very useful except optimisation which I did not enjoy as much. Have you even done this course? Brian even shows python examples for us to be able to re-create and apply them ourselves and many of the searching algorithms in the first chapter like A* search or widely used in various searching problems. Moreover, this course is more a base to understand the many segments of AI as it is a very big field- one later may choose to learn deeper into neural networks or whatever they want, having understood the underlying base for how most AI works... or just watch the chapter you are interested in. I understand that many courses are not really useful and they just waste people's time, but this course truly has taught me well about AI whilst keeping me engaged and giving clean and concise explanations by Brian which I could easily understand. However, you may also think the course was not useful if you have not tried to actually learn by making notes and using python as well as experimentation. If you are interested in AI I strongly recommend you watch this course or at least the chapter(s) you are interested in as an introduction to how it all works and try to get engaged and take notes at least to maximise your learning and not end up just actually wasting hours of your time because of you, not the course.
youtube AI Governance 2024-06-27T10:1…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionapproval
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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