 neingeist
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eb1df682eb
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📝 README.md
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4 years ago |
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neingeist
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10ef3bd80e
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Regularized Gradient
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10 years ago |
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neingeist
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111a0d1cca
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Regularized Cost
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10 years ago |
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neingeist
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e1e66778f8
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Collaborative Filtering Gradient
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10 years ago |
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neingeist
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fc28204594
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Collaborative Filtering Cost
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10 years ago |
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neingeist
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87457bb7b4
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Select threshold
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10 years ago |
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neingeist
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4bc9a2b246
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Estimate Gaussian
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10 years ago |
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neingeist
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33e8cbac01
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Add exercise 8
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10 years ago |
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neingeist
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beb652a5be
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Recover data
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10 years ago |
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neingeist
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798f82ecc1
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Project data
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10 years ago |
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neingeist
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2b98bd80f0
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Implement PCA
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10 years ago |
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neingeist
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5f3f65c69c
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Random initialization
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10 years ago |
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neingeist
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6c51a29ca2
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Compute centroid means (vectorized)
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10 years ago |
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neingeist
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39b09f144a
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Compute centroid means (unvectorized)
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10 years ago |
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neingeist
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f8c0087ff3
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Find closest centroids
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10 years ago |
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neingeist
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229023b69c
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Add exercise 7
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10 years ago |
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neingeist
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348d6325cb
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Email feature extraction
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10 years ago |
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neingeist
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f0d4b4d208
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Preprocess email
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10 years ago |
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neingeist
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203cbc997c
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Implement grid search and determine best parameters for C and sigma
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10 years ago |
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neingeist
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e67166bc8e
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Implement Gaussian kernel
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10 years ago |
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neingeist
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7ab47a4d35
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Add exercise 6
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10 years ago |
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neingeist
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2ab445f9a8
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Compute the test set error
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10 years ago |
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neingeist
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78830aaea7
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Validation curve function
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10 years ago |
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neingeist
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3751214442
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Use lambda=1 for regularizing the polynomial fit
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10 years ago |
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neingeist
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717ea8c788
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Polynomial feature mapping
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10 years ago |
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neingeist
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1cc58802eb
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Learning curve function
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10 years ago |
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neingeist
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90f2928cee
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Move .gitignore to top-level directory
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10 years ago |
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neingeist
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2d6da3e3d4
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Regularized linear regression gradient
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10 years ago |
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neingeist
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6530916642
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Regularized linear regression cost function
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10 years ago |
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neingeist
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d93d111106
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Add programming exercise 5
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10 years ago |
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neingeist
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eccdcc0d81
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Regularized NN gradient
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10 years ago |
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neingeist
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bdecab8cf8
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Implement back propagation
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10 years ago |
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neingeist
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052f0625c3
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Random initialization
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10 years ago |
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neingeist
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863f1d7157
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Compute the sigmoid gradient
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10 years ago |
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neingeist
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395c5676dc
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Add regularization to the cost function
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10 years ago |
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neingeist
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f2154a8cc1
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Compute cost function for the neural network
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10 years ago |
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neingeist
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be6f3cbdef
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Move PDFs in top directory
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10 years ago |
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neingeist
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a17f47e396
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Add programming exercise 4
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10 years ago |
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neingeist
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073fbf0204
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Add neural network prediction function
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10 years ago |
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neingeist
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3bf3d9fdc3
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Add prediction function for one-vs-all classification
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10 years ago |
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neingeist
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cf0d25440c
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Train num_labels one-vs-all logistic regression classifiers
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10 years ago |
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neingeist
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9117809537
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Vectorized regularized logistic regression, again
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10 years ago |
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neingeist
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326a924044
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Add exercise 3
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10 years ago |
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neingeist
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f9243ef593
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Simplify regularization term
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10 years ago |
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neingeist
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9e9b9990bb
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Compute the gradient for regularized logistic regression
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10 years ago |
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neingeist
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f391ac661e
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Add cost function for regularized logistic regression
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10 years ago |
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neingeist
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224a17e4d3
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Plot negative samples in red
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10 years ago |
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neingeist
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c0b4d95f75
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Predict
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10 years ago |
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neingeist
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31c4ac1967
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Compute the gradient for logistic regression
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10 years ago |
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neingeist
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8c100a3f49
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Compute the cost function for logistic regression
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10 years ago |