Mindblown: a blog about philosophy.
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AI Algorithms Quick Summary: HIERARCHICAL CLUSTERING
Imagine sorting LEGO bricks by color and size and arranging those groups into larger groups, like this algorithm does with data. #MachineLearning #HierarchicalClustering
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AI Algorithms Quick Summary: GRAPH NEURAL NETWORKS
These algorithms are like detectives that unravel connections in social networks or any data with complex relationships. #MachineLearning #GraphNeuralNetworks
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AI Algorithms Quick Summary: GRADIENT DESCENT
Fine-tune algorithms like a treasure hunter adjusting their path to find the hidden treasure. #MachineLearning #GradientDescent
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AI Algorithms Quick Summary: GRADIENT BOOSTING MACHINE
Polish the skills of each player, like a sports coach, making the team perform better as a whole. #MachineLearning #GradientBoosting
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AI Algorithms Quick Summary: GPT-3
Generate human-like text with this algorithm, making chatbots sound like they’re having real conversations with you. #MachineLearning #GPT3
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AI Algorithms Quick Summary: GMM
Categorize data points into different groups, like a party where everyone belongs to a different group. #MachineLearning #GMM
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AI Algorithms Quick Summary: GAN
Have an AI buddy that creates art with GANs, generating images, music, and more by learning from a dataset. #MachineLearning #GAN
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AI Algorithms Quick Summary: FACTOR ANALYSIS OF CORRESPONDENCES
Mediator at the data party that reveals relationships between different data categories. #MachineLearning #FactorAnalysis
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AI Algorithms Quick Summary: EFFICIENTNET
EfficientNet is like an energy-efficient car, performing well with minimal resources, ideal for object identification. #MachineLearning #EfficientNet
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AI Algorithms Quick Summary: DEEP Q-LEARNING
Meet the gamer algorithm that learns and improves by playing games, like chess or video games. #MachineLearning #Qlearning
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