I don’t even know how to explain what I feel today. It’s not just about the ceremony. It’s looking back and seeing how God walked with me through chaos, through pain, through moments I didn’t think I’d survive. It’s not the grades or the accomplishments that move me it’s the quiet ways He held me together when I was falling apart.
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How do you thank a God like that? I can’t. no tears, no words are enough. His love didn’t just carry me it completely overwhelmed me. Broke me. Remade me. And I wouldn’t have it any other way. I love Him more than I know how to say.
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"አቤቱ አምላኬ ሆይ፥ በልቤ ሁሉ አመሰግንሃለሁ፥ ለዘላለምም ስምህን አከብራለሁ"
መዝሙረ ዳዊት 86:12
መዝሙረ ዳዊት 86:12
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Forwarded from Hacker News
www.codelink.io
AI system development: LLM → RAG → AI Workflow → AI Agent | CodeLink
Confused by LLMs, RAG, & AI Agents? We break down the spectrum of AI system design with a familiar resume-screening example to show the leap in capabilities (and complexity) at each level.
Just tried Streamlit and wow, it’s fire! In just a few lines of Python, I turned my noscript into a clean, interactive web app.
you gotta check it out.
you gotta check it out.
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Hey Everyone
It’s been a while since I posted about my journey and stuffs here.
Truth is, I’ve been on and off.
Sometimes I go deep into learning, and other times I just… get stuck.
I try again and again to understand certain ML concepts, but they don’t always click.
It’s frustrating and honestly, it made me doubt myself more than once.
Most people think(so do i) machine learning is just about using libraries or copying code. But here’s the truth a lot of that confusion comes from not really understanding the math behind machine learning
It’s been a while since I posted about my journey and stuffs here.
Truth is, I’ve been on and off.
Sometimes I go deep into learning, and other times I just… get stuck.
I try again and again to understand certain ML concepts, but they don’t always click.
It’s frustrating and honestly, it made me doubt myself more than once.
Most people think(so do i) machine learning is just about using libraries or copying code. But here’s the truth a lot of that confusion comes from not really understanding the math behind machine learning
👌6⚡1
Most of the stuff we “tune” like learning rate, regularization, or depth are actually based on mathematical principles.
And if you get the math, even at a basic level, things start to make sense.
And if you get the math, even at a basic level, things start to make sense.
💯6
That’s where this book comes in:
📘“An Introduction to Statistical Learning with Python” (ISLP)
It literally explains key ML models in a simple, clear way
Shows you the math behind them but in a way that makes sense
Comes with hands-on Python code
And best of all it’s free
📎 Link: https://www.statlearning.com
I just started using it, and already I feel like I’m finally moving forward again.
If you’ve also been stuck or feeling like you’re not progressing, maybe this can help you too.
📘“An Introduction to Statistical Learning with Python” (ISLP)
It literally explains key ML models in a simple, clear way
Shows you the math behind them but in a way that makes sense
Comes with hands-on Python code
And best of all it’s free
📎 Link: https://www.statlearning.com
I just started using it, and already I feel like I’m finally moving forward again.
If you’ve also been stuck or feeling like you’re not progressing, maybe this can help you too.
❤4