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Kidus's Chronicles

Kidus's Chronicles

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Look at you comforting others with the words you wish someone has said to you.

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We might start working with anthropic 😯

😂
😂

Who hear reads a book? I am actually thinking if we could have a book club where we can have a weekly talk about a book we have read, read books together and all. Would any of you be interested ??

Gooooood morning beautiful people, Have a blessed and a productive week. Remember if there is a slight chance at getting something that will make you happy, risk it. Life is too short and happiness is too rare.

The thing with the probabilistic model is that the predictions are done in favour of the right conditions set, I.E : argentina playing lime they were playing before. Now for this it doesn't make the prediction wrong, a 39% outcome happens but not often tho. The way to check if the model is accurate is by checking the model's calibration curve across the whole tournament. But it was a very cool experiment to play around with.

Well that wasn't accurate 😂, I fall asleep and just saw the results and from the stats this was not expected from Argentina, Well deserved win for Spain.

I think i need to come up with a logo or something for my channel and change this dreading profile 😂

I will start accepting orders 😁.

One fun fact about me, i love cooking, especially baking, and I was craving some english cake and I baked today but the heat
+1
One fun fact about me, i love cooking, especially baking, and I was craving some english cake and I baked today but the heat was a bit much that the sides are charred 😂, still tastes amazing tho

Btw just realised it actually predicted correctly of England being third 👀

I have rerun the model for today's match prediction, it said Algertina will win the world cup with 61% chance while spain with 39% chance 😃, let's see if the prediction is correct or not

How often should we do this kind of live session
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Additional resource https://paperswithcode.co/

Here are one of the best resources to start your ML / AI Journey Core Andrew Ng Courses Machine Learning Specialization - https://www.coursera.org/specializations/machine-learning-introduction Deep Learning Specialization - https://www.deeplearning.ai/specializations/deep-learning Generative AI for Everyone -https://www.deeplearning.ai/courses/generative-ai-for-everyone 🧠 Natural Language Processing (NLP Focus) Natural Language Processing Specialization - https://www.deeplearning.ai/specializations/natural-language-processing (Covers sentiment analysis, transformers, BERT, translation, etc.) Agentic AI - https://www.deeplearning.ai/courses/agentic-ai

You'll find peace when you realize people are at war with themselves, not you. Have a beautiful Sunday ✨

Repost from N/a
📌 Today's key takeaways from our live session with ML Engineer Kidus(@pluviophile_key ): "Machine Learning ena AI aren't as easy as vibe coding might make them look." If U guys are genuinely interested in this field, don't rely only on AI tools. Build a strong understanding of the fundamentals, practice consistently, and gain hands-on experience. Real knowledge will always be your biggest advantage. 💡 Quote of the session: "Not something is everything, and not everything is something." My takeaway from this is that not every skill or technology is meant to solve every problem. Learn what truly matters, focus on the right things, ena understand when and where to apply your knowledge. A big thanks to @pluviophile_key for sharing his experience and valuable insights! 🙌 Have a nighty night! @jalos_trip

Hey guys, thank you so much for joining, i enjoyed it a lot, how was today's session?? Please comment any feedbacks or thoughts you have about it.

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