Rehalization @Rehalization

Tech, engineering & art Building @TalentLensCorp & @EnglishBoostHi Pixel Art Acc: @rehalizationart Joined October 2023

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anshuman @athleticKoder

a week ago

She dumped me last night. Not because I don't listen. Not because I'm always on my phone. Not even because I forgot our anniversary (twice). But because, in her exact words: "You only pay attention to the parts of what I say that you think are important." I stared at her…

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TalentLens @TalentLensCorp

2 weeks ago

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paris @wavelettes

3 weeks ago

ChatGPT needs a 'fork chat' feature. I want to be able to branch a conversation from any point like git branch -> explore alternate timelines without ruining the main thread. or copy pasting like a freak

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Rehalization @Rehalization

3 weeks ago

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vittorio @IterIntellectus

3 weeks ago

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atulit @atulit_gaur

a month ago

Can someone create an opensource and completely free versions of these things: 1. Duolingo 2. Google one 3. Figma 4. AWS 5. Brilliant Thanks in advance!

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Rehalization @Rehalization

4 weeks ago

Daily Grind: - No studying due to anxiety - Ran 3.3 km with 6.50 pace - Started designing a really fancy website for my startup

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Rehalization @Rehalization

a month ago

DAILY AI GRIND: - Studied 2hrs - Problem-solving as path finding in graphs - Tree search - Dynamic programming principles - Uniform-cost search

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Rehalization @Rehalization

a month ago

DAILY AI GRIND: - Today's my birthday so only studied 3hrs - Generalization - Unsupervised learning fundamentals - K-means clustering - Implemented K-means from scratch and tested it on RGB pixel clustering for image segmentation

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Rehalization @Rehalization

a month ago

DAILY AI GRIND: - Studied 5hrs - Feature representations & non-linearity - Basics of neural networks - Activation functions, layers, forward pass - Nearest neighbors - k-NN intuition & applications

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Rehalization @Rehalization

a month ago

DAILY AI GRIND: - Studied 5hrs - Covered linear classification methods - Explored loss minimization techniques - Learned about stochastic gradient descent - Intuition behind SGD vs. full-batch gradient descent - Practical aspects: learning rate, convergence, noise

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Rehalization @Rehalization

a month ago

DAILY AI GRIND: - Studied 7 hrs - Search algorithms like: - BFS - DFS with iterative deepening - Uniform-cost search - A* search - Game tree methods - Minimax with alpha-beta pruning - Monte Carlo tree search

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Rehalization @Rehalization

a month ago

DAILY AI GRIND: - studied 7hrs - Bayes refresher - Camera-calibration (pinhole, intrinsics, distortion, homography) - Sketched phone-cam auto-cal project with live depth overlay

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Rehalization @Rehalization

a month ago

Daily Grind: - Studied ~5 hrs - Finished Essence of Linear Algebra by 3Blue1Brown. Best source in the internet on this topic by far. Not only teaches you linear algebra basics but also shows you the intuition behind. youtube.com/playlist?list=…

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duck @ExtremeBlitz__

a month ago

trying to study an exam that isnt tomorrow

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Jay Alto @theJayAlto

2 months ago

you aren't the average of the five people you spend the most time with. you're the average of the five people you spend the most time consuming. read timeless biographies. watch old interviews. follow the obsessed. study iconic lectures. brainwash yourself with greatness.