ml_learn_group's profile picture. Learning machine learning together, one day at a time | Daily concepts, discussions, and growth

Machine Learning Group

@ml_learn_group

Learning machine learning together, one day at a time | Daily concepts, discussions, and growth

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Excited to start this machine learning journey together! As a ML PhD student myself, I'm looking forward to learning, growing, and exploring the world of ML with all of you, one concept at a time. #MachineLearning #DailyLearning #MLStudent


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Multiscale Doge Decomposition

docmilanfar's tweet image. Multiscale Doge Decomposition

Q: What's the purpose of the #AttentionMechanism in #NeuralNetworks? A) To reduce dimensionality of input data B) To increase model interpretability C) To focus on relevant input features for prediction D) To optimize model hyperparameters #DeepLearning #NLP #AI


Day 3: What is the term for the phenomenon where an ML model’s performance degrades when faced with OOD data, & the predictions become overconfident & less calibrated? A) Adversarial Attack B) Catastrophic Forgetting C) Concept Drift D) Overfitting to the Training Distribution


Did you know that CNNs were inspired by the study of the mammalian visual cortex, specifically the work of Hubel & Wiesel in the 1950s? They discovered that neurons in the visual cortex respond to specific patterns, like edges & lines, which is similar to how CNNs process images

ml_learn_group's tweet image. Did you know that CNNs were inspired by the study of the mammalian visual cortex, specifically the work of Hubel & Wiesel in the 1950s? They discovered that neurons in the visual cortex respond to specific patterns, like edges & lines, which is similar to how CNNs process images

Fun fact: Did you know it took less time to teach a machine learning system to MASTER chess than to teach it to simply HOLD and MOVE a piece? #MachineLearning #AI #Chess


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