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| MachineLearning | https://github.com/aromanro/MachineLearning |
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| https://github.com/aromanro/MachineLearning |
| MachineLearning | https://github.com/aromanro/MachineLearning |
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| MachineLearning | https://github.com/aromanro/MachineLearning/tree/master/MachineLearning |
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| LICENSE | https://github.com/aromanro/MachineLearning/blob/master/LICENSE |
| README.md | https://github.com/aromanro/MachineLearning/blob/master/README.md |
| README.md | https://github.com/aromanro/MachineLearning/blob/master/README.md |
| README | https://github.com/aromanro/MachineLearning |
| GPL-3.0 license | https://github.com/aromanro/MachineLearning |
| https://github.com/aromanro/MachineLearning#machinelearning |
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| https://compphys.go.ro/machine-learning-from-scratch/ | https://compphys.go.ro/machine-learning-from-scratch/ |
| https://github.com/aromanro/MachineLearning#rationale |
| https://www.kaggle.com/competitions/trackml-particle-identification | https://www.kaggle.com/competitions/trackml-particle-identification |
| https://github.com/aromanro/MachineLearning#introduction |
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| https://github.com/aromanro/MachineLearning#a-warning |
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| https://github.com/aromanro/MachineLearning#some-utility-classes |
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| https://github.com/aromanro/MachineLearning#simple-linear-regression |
| simple linear regression | https://en.wikipedia.org/wiki/Simple_linear_regression |
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| https://github.com/aromanro/MachineLearning/blob/master/img/LinearRegression.png |
| https://github.com/aromanro/MachineLearning#general-linear-regression |
| General Linear model | https://en.wikipedia.org/wiki/General_linear_model |
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| https://github.com/aromanro/MachineLearning#polynomial-regression |
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| https://github.com/aromanro/MachineLearning/blob/master/img/PolynomialRegressionSecondOrder.png |
| https://github.com/aromanro/MachineLearning/blob/master/img/PolynomialRegressionQuartic.png |
| https://github.com/aromanro/MachineLearning#generalized-linear-regression |
| generalized linear model | https://en.wikipedia.org/wiki/Generalized_linear_model |
| https://github.com/aromanro/MachineLearning#logistic-regression |
| logistic regression | https://en.wikipedia.org/wiki/Logistic_regression |
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| https://github.com/aromanro/MachineLearning/blob/master/img/LogisticRegressionPolar.png |
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| https://github.com/aromanro/MachineLearning#softmax |
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| https://github.com/aromanro/MachineLearning#neural-networks |
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| https://github.com/aromanro/MachineLearning#the-multilayer-perceptron |
| multilayer perceptron | https://en.wikipedia.org/wiki/Multilayer_perceptron |
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| https://github.com/aromanro/MachineLearning#xor |
| NeuralNetworTestsXOR.cpp | https://github.com/aromanro/MachineLearning/blob/master/MachineLearning/MachineLearning/NeuralNetworTestsXOR.cpp |
| https://arxiv.org/abs/2108.12943 | https://arxiv.org/abs/2108.12943 |
| https://arxiv.org/abs/2110.06871v1 | https://arxiv.org/abs/2110.06871v1 |
| https://github.com/aromanro/MachineLearning#iris-dataset |
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| https://github.com/aromanro/MachineLearning#emnist-dataset |
| NeuralNetworkTestsMNIST.cpp | https://github.com/aromanro/MachineLearning/blob/master/MachineLearning/MachineLearning/NeuralNetworkTestsMNIST.cpp |
| https://arxiv.org/abs/1702.05373 | https://arxiv.org/abs/1702.05373 |
| https://paperswithcode.com/dataset/emnist | https://paperswithcode.com/dataset/emnist |
| https://github.com/aromanro/MachineLearning/blob/master/img/TrainingLoss.png |
| https://github.com/aromanro/MachineLearning/blob/master/img/TrainingLossOverfit99.99.png |
| https://github.com/aromanro/MachineLearning#changes-since-the-above-were-written |
| https://github.com/aromanro/MachineLearning#tools |
| https://github.com/aromanro/MachineLearning#libraries |
| Eigen | https://eigen.tuxfamily.org/ |
| https://github.com/aromanro/MachineLearning#bibliography |
| The Elements of Statistical Learning | https://hastie.su.domains/ElemStatLearn/ |
| Pattern Recognition and Machine Learning | https://www.microsoft.com/en-us/research/publication/pattern-recognition-machine-learning/ |
| Probabilistic Machine Learning: An Introduction | https://probml.github.io/pml-book/book1.html |
| Probabilistic Machine Learning: Advanced Topics | https://probml.github.io/pml-book/book2.html |
| Deep Learning | https://www.deeplearningbook.org/ |
| adagrad | https://github.com/topics/adagrad |
| adam-optimizer | https://github.com/topics/adam-optimizer |
| backpropagation | https://github.com/topics/backpropagation |
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| data-science | https://github.com/topics/data-science |
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| logistic-regression | https://github.com/topics/logistic-regression |
| machine-learning | https://github.com/topics/machine-learning |
| machine-learning-algorithms | https://github.com/topics/machine-learning-algorithms |
| multilayer-perceptron-network | https://github.com/topics/multilayer-perceptron-network |
| nadam | https://github.com/topics/nadam |
| nesterov-accelerated-sgd | https://github.com/topics/nesterov-accelerated-sgd |
| nesterov-momentum | https://github.com/topics/nesterov-momentum |
| neural-network | https://github.com/topics/neural-network |
| rmsprop | https://github.com/topics/rmsprop |
| Readme | https://github.com/aromanro/MachineLearning#readme-ov-file |
| GPL-3.0 license | https://github.com/aromanro/MachineLearning#GPL-3.0-1-ov-file |
| Activity | https://github.com/aromanro/MachineLearning/activity |
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