🚨 99% learn AI WRONG: tools & prompts only. Real AI = SYSTEMS.
Free Microsoft Gen AI course teaches HOW 👇
🧠 AI/LLMs work + model comparisonlnkd.in/gNGQQwDDoiSlnkd.in/gyK2UZDFnt0
#AI #GenAI #MachineLearning #TechTrenJzu
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Solved Height Checker 💻
Learned Regularization & studied Vector Spaces ��
#LeetCode #MachineLearning #CodingJourney
🤖 AI is transforming financial trading by enabling faster decisions, smarter predictions, and personalized strategies.
🎓 Strengthen your AI & machine learning expertise—get certified todayglobaltechcouncil.org/artificial-int…2X
#AITrading #MachineLearning #FinTech #DataScience #AIinFinancYH
🔥 Fine-tuning beats few-shot for specialized tasks
Generic models are amazing. Specialized models are unstoppable.
Stop prompt engineering everything. Fine-tune once, win forever.
#AI #MachineLearning #FineTuningV
Perceptron is redefining decentralized AI ⚡
Smarter models, faster learning, real innovation.
@PerceptronNTWK #AI #Web3 #MachineLearning
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Tip: Apply imputation techniques (e.g., mean or median filling) and compare results with XGBoost’s built-in missing value handling to find the best approach.
#XGBoost #DataScience #MachineLearning
Hi! If you are in tech, building something or you have SaaS, let’s connect. 🤝
#LetsConnect #MachineLearning #Tech #AI #saas #startup
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Perceptron is redefining decentralized AI ⚡
Smarter models, faster learning, real innovation.
@PerceptronNTWK #AI #Web3 #MachineLearning
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By learning from data through weighted inputs and iterative updates, it proved machines could adapt and improve.
From this foundation, today’s neural networks continue to evolve and reshape our world.
@PerceptronNTWK #AI #MachineLearning
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"Are we reinforcing AI errors without realizing it? 🤖💥 It's time to rethink our models and embrace true exploration over blind confidence! #AI #MachineLearning #ReinforcementLearning #DataScience #Innovationbrandhives.substack.com/p/are-we-blind…gzr
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Scikit-Learn SpectralBiclustering Model
sklearner.com/scikit-learn-s…
#SciKitLearn #DataScience #MachineLearning
Download 674-page PDF >> Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): arxiv.org/abs/2409.02668
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#MachineLearning #ML #DeepLearning #AI #Mathematics #DataScience #DataScientist
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XGBoost Configure "class_weight" Parameter for Imbalanced Classification
xgboosting.com/xgboost-config…
#XGBoost #DataScience #MachineLearning
QM40 - a #quantum #dataset for training #machinelearning in #drug discovery and #molecular science. It contains 162,954 drug-like molecules with calculated properties.
heres all 162,000 analyzed.
interesting takeaway and white paper
zenodo.org/records/192819…
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So much potential in Perceptron Network 🚀 Definitely one to watch — the future looks bright!
#AI #MachineLearning #PerceptronNetwork #TechInnovation
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Every new 'AI agent' framework has the same problem: the agent works great in demos and falls apart in production. That's a product design problem, not a model problem.
#Alpha #Earntoshi #MachineLearning #AIAgent
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Everyone's obsessed with centralizing AI at mega-corps while Qubic quietly distributes compute to randos worldwide. The uncomfortable truth? We're about to find out if decentralized training actually works, and big AI might not like the answer. #AI #MachineLearning
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Perceptron Network is bringing serious energy to the space ⚡ Bright future, bold vision, and lots to be excited about!
#AI #MachineLearning #PerceptronNetwork #TechInnovation
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Been working on a project this week,and it reminded me that a 90% accurate model can still be completely useless.
If your data is imbalanced,accuracy is just telling you what you want to hear.
AUC-ROC, AUC-PR, and F1 are my new best friends now😂.
#DataScience #MachineLearning7
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