Calling all AI Enthusiasts! 🤖
Math & Algorithm internship Program :
iCog Labs :: invites passionate minds to join a specialized internship program focused on mathematics, physics, and technology.
iCog Labs is seeking talented individuals to join our 2025 batch 1 AI Talent Program. You'll work on cutting-edge projects, learn from experts, and grow your skills.
What we're looking for:
Mathematics (pure & applied)
Algorithms
Physics (classical & modern)
Quantum Physics
Coding & Programming (beginners welcome - passion to learn is key)
Deadline: October 31, 2025
apply_here
@samli_documentation
Math & Algorithm internship Program :
iCog Labs :: invites passionate minds to join a specialized internship program focused on mathematics, physics, and technology.
iCog Labs is seeking talented individuals to join our 2025 batch 1 AI Talent Program. You'll work on cutting-edge projects, learn from experts, and grow your skills.
What we're looking for:
Mathematics (pure & applied)
Algorithms
Physics (classical & modern)
Quantum Physics
Coding & Programming (beginners welcome - passion to learn is key)
Deadline: October 31, 2025
apply_here
@samli_documentation
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Anyone interested in stock market ? 🧐. Dm @Samli_A if you are willing review my report.
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Opportunity Alerts📢
✨Are you a young innovator, coder or tech enthusiast ready to shape the future of Ethiopia? Yenegewa Ethiopia Hackathon is more than just a competition, it’s a 48-hour innovation marathon bringing together bright minds, tech enthusiasts, & future leaders to reimagine Ethiopia’s future through technology
Hackathon✨
@samli_documentation
@samli_documentation
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https://competitions.langflow.org/
If you are up to agentic workflows , check it out.
@samli_documentation
If you are up to agentic workflows , check it out.
@samli_documentation
Langflow Competitions
Join Langflow Competitions to showcase your skills, compete with others, and win exciting prizes in AI and development challenges.
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Samri’s Log
@samli_documentation
Overfitting is not a problem nowadays, coz we have techniques like early stopping, learning rate scheduling with exponential decay, gradient descent optimization, dropout.....
When we comes to underfitting I think it's more of data and skill issues 🤷♀
I remember how I was struggling with my first deep learning task the model didn’t even beat the baseline accuracy.😓
I don't know where I get this phrase but
Dirty data ~ bad model
Know your model well like very well(plus if it is good fit for the objective or whatever) and clean ur data 🧹
@samli_documentation
When we comes to underfitting I think it's more of data and skill issues 🤷♀
I remember how I was struggling with my first deep learning task the model didn’t even beat the baseline accuracy.😓
I don't know where I get this phrase but
Garbage in garbage out
Dirty data ~ bad model
Know your model well like very well(plus if it is good fit for the objective or whatever) and clean ur data 🧹
@samli_documentation
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