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BG
BG @BatantouGryd ·
Replying to @BatantouGryd
Le partenaire est soit un moteur ou un frein. • Le frein : Il va pomper l'énergie nécessaire à vos projets. Vous passez votre temps à gérer des conflits au lieu de bâtir. • Le moteur : Il stabilise vos émotions. Quand l'extérieur est chaotique, la maison est un refuge. #ML🧠
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ちはる✨
ちはる✨ @dbtgt83412963 ·
The Perceptron, invented by Rosenblatt in 1958, is the foundational binary classifier in neural networks. It learns linear decision boundaries via error-driven weight updates, laying the groundwork for deep learning. @PerceptronNTWK #AI #ML
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Sibtain π² 🫎 | ETHGas ⛽
Sibtain π² 🫎 | ETHGas ⛽ @RazaSibtai7650 ·
The Perceptron sparked modern AI—introducing learning through weighted inputs and iterative updates. Its simplicity laid the foundation for neural networks and deep learning. Every intelligent system today traces back to this breakthrough. @PerceptronNTWK #AI #ML
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Sergio Cuéllar ☁️ (@ 🏠)
Sergio Cuéllar ☁️ (@ 🏠) @5ergio_Cuellar ·
Unlock the power of Amazon SageMaker Unified Studio! 🚀 Integrate S3 buckets with SageMaker Catalog for seamless data access and ML model fine-tuning. 🧠🔢 #AWS #ML #DataAnalyticsaws.amazon.com/blogs/machine-…pxz
Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3 | Amazon...

Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration makes it straightforward for teams to use unstructured data...

From aws.amazon.com
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Chitra
Chitra @0xchitra ·
Day 57 of learning AI/ML I studied Probability @khanacademy Unit 7 • Intro to theoretical probability • Sample spaces & subsets • Coin flips & dice probabilities • Simple events • Intuition behind probability • Monty Hall problem #LearnInPublic #AI #ML
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