About
π Machine Learning
Machine Learning is to me the transcendentalization of my combined passion toward Software Engineering and Data
Analytics. Machine Learning (ML) is a specific subset of AI focused on enabling machines to learn from data.
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37 minutes

Reading Notes - Influence: The Psychology of Persuasion
When you are offered a small gift, mostly likely you are being manipulated. Doing business with people is not about
playing Psychological tricks on them, but to genuinely offering values for them
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30 minutes

Reading Notes - An Enquiry Concerning Human Understanding
This post serves as the aid to help me understand David Humes' greatest work better
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31 minutes

Houston, We Have a Problem - OpenJDK is on 26 Now!
Holy... I'm still at 17. My tech portfolio has been obsolete. Let's put up a blog that shares the updates and new
features since JDK 9 forward.
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12 minutes

Kant β Eine groΓe Synthese zwischen Rationalismus und Empirismus
A Masterpiece of Idealism of Anti-Idealism - Transcendental Idealism
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12 minutes

π€ Transformer
In this post, we will be looking at some of the main intuitions of how Transformer language models work. Our focus
will be on text generation models so we get a deeper sense for generative LLMs in particular.
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47 minutes

Where is the computational limits of AI? The Halting Problem
2025-10-06
If the Universal Approximation Theorem expresses the unprecedented power of AI, the Halting Problem poses the
opposite - its computational limit.
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6 minutes

Reading Galileo and Descartes Critically from the Lens of Determinism and Deep Learning
Galileo and Descartes are, no double of guess, monumental giants for their obvious reasons. For OpenML, it means the
two just born the modern Determinism of AI.
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15 minutes
