Forwarded from Tech Nerd (Tech Nerd)
Yo ML Nerds!
@benasphy has been cooking up something serious β over 30+ clean, hands-on ML projects covering tons of algorithms. If youβve been stuck just learning ML without building, this is your chance to flip that.
GitHub: github.com/benasphy/ML_projects
Dashboard to explore: mlprojects-algorithmslist.streamlit.app
If you're into ML or just wanna chat about it, hit him up on TG: @benasphy
@selfmadecoder
@benasphy has been cooking up something serious β over 30+ clean, hands-on ML projects covering tons of algorithms. If youβve been stuck just learning ML without building, this is your chance to flip that.
GitHub: github.com/benasphy/ML_projects
Dashboard to explore: mlprojects-algorithmslist.streamlit.app
If you're into ML or just wanna chat about it, hit him up on TG: @benasphy
@selfmadecoder
π₯5
Name any book that is better or even a contender to "the brothers karamazov"
π2
If we could upload our consciousness into a machine, would that be immortality, or just a really good copy?
What do ya'll think?
What do ya'll think?
π4
Henok
If we could upload our consciousness into a machine, would that be immortality, or just a really good copy? What do ya'll think?
Assuming consciousness can be reduced to information, uploading it would create a digital record of your cognitive state at that moment. Whether that record constitutes continued existence, or simply a perfect snapshot, is a matter of philosophical debate.
π3
The Unreasonable Effectiveness of Data: Why More Beats Fancy
Back in 2009, three Google researchers (Halevy, Norvig, Pereira) dropped a truth bomb:
Whatβs the Big Idea?
1. Big Data > Clever Code
2. The "Just Add Data" Playbook
3. Why This Still Matters
[Full Paper]
Back in 2009, three Google researchers (Halevy, Norvig, Pereira) dropped a truth bomb:
"Throw enough data at a simple model, and itβll outperform a smart model on a diet."
Whatβs the Big Idea?
1. Big Data > Clever Code
-Example: A dumb n-gram language model (just counting word pairs) trained on trillions of sentences beats a fancy, hand-tuned grammar model on small data.
-Modern proof: ChatGPT (a fancy autocomplete) works because it ate the internet.
2. The "Just Add Data" Playbook
-Google Translate got way better when they switched from linguistic rules to statistical patterns in huge text corpora.
-Todayβs AI mantra: Scale first, ask questions later.
3. Why This Still Matters
-LLMs (GPT-4, Gemini): Their "magic" is mostly data + brute force, not genius algorithms.
-Self-driving cars: Waymo/Tesla rely on millions of miles of driving footage, not just slick code.
[Full Paper]
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You can see intelligence in his eyes.
Richard Feynman, one of a kindβ€οΈ
Richard Feynman, one of a kindβ€οΈ
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mogn
Building useless stuff and learning useful things along the way. Being a fool.
Building useless stuff and learning useful things along the way. Being a fool.
Telegram
mogn
Building useless stuff and learning useful things along the way. Being a fool.
π₯8
Henok
mogn Building useless stuff and learning useful things along the way. Being a fool.
Check out this channelπ
π₯6
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Lord Huron - The Night We Met
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Henok
https://sma.robi.work/b/2aujgxNDlGdh
Okayy, time to connect with you people once more. Just click on the link and send me anything you want to say. Questions are appreciated :)
π₯2
This is how it ends when a team doesnt have a player who is eager to win.
Downfall. From the top to the very bottom. From being feared by everyone to being a favorite team to the opponents. That is manchester united :(
Downfall. From the top to the very bottom. From being feared by everyone to being a favorite team to the opponents. That is manchester united :(
π€£2π2