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new supervised learning function approximation x y mapping labeled pairs overseeing learning model fitting

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🦾🤖🦿🖥️🧠👾👩‍💻👨‍💻
new machine learning deep learning neural networks backpropagation yann lecun back-propagation neural network supervised learning
📈≈➕➖✖️ⁿ
new function approximation polynomial approximation numerical methods local linearization
📚(✅/❌)→📈
new supervised learning classification task regression task labeled examples model fitting pattern recognition feedback learning training data
📊🏷️➡️🎯
new supervised learning prediction model regression labeled dataset target variable
[📥✅]→🧠
new supervised learning input-output mapping labeled data model training ground truth feature-label pairs
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➡️❓⏪💡✨
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📊➡️🤖
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🤖⚖️⚫️⚪️
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🌱➡️🎯✅
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🔵🔴⚫️➡️〰️
new data points function approximation interpolation extrapolation scatter plot smoothing
🤖(📊)→{👍/👎}
new machine learning model supervised learning statistical model binary target predictor spam filter
🔵🆚🔴
new two classes supervised learning contrasting groups categories a b testing
🧑‍🏫🤝🧑‍🎓
new apprenticeship supervised learning training program
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new support vectors hyperplane margin svm supervised learning
🤖📊➡️[A][B]
new data classification machine learning AI sorting pattern recognition categorizing data supervised learning cluster analysis
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new data processing machine learning model prediction algorithm ai training pattern recognition supervised learning classification regression
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new train-test split validation set generalization model assessment holdout method supervised learning
🌀〰️⚫️⚪️
new kernel trick non-linear classification feature map high dimension svm supervised learning
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new data processing input layer hidden layer output layer classification prediction function approximation
📊➖⛓️
new statistics variables constraints statistical model parameters data analysis free parameters model fitting
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