Download Bonaccorso G Mastering Machine Learning Algorithms 2ed 2020 Torrent

Torrent Contents Size: 20.8 MB

Bonaccorso G Mastering Machine Learning Algorithms 2ed 2020

Bonaccorso G. Mastering Machine Learning Algorithms 2ed 2020.djvu

DJVU

8.97 MB

Code Files

Chapter01

cross_validation.py	PY	1.75 KB
cross_validation_2.py	PY	1.41 KB
dataset_splitting.py	PY	661 B
normalization.py	PY	1023 B
regularization.py	PY	1.48 KB
scaling.py	PY	1.67 KB
whitening.py	PY	1.27 KB

Chapter02

cotraining.py	PY	2.59 KB
cple.py	PY	3.1 KB
generative_gaussian_mixtures.py	PY	4.47 KB
s3vm.py	PY	5.43 KB
self_training.py	PY	1.65 KB
tsvm.py	PY	4.83 KB
tsvm_comparison_10_01.py	PY	4.9 KB
tsvm_comparison_1_10.py	PY	4.9 KB
tsvm_comparison_svm.py	PY	2.24 KB

Chapter03

cotraining.py	PY	2.59 KB
generative_gaussian_mixtures.py	PY	4.47 KB
self_training.py	PY	1.65 KB

Chapter04

cple.py	PY	3.1 KB
s3vm.py	PY	5.43 KB
tsvm.py	PY	4.83 KB
tsvm_comparison_10_01.py	PY	4.9 KB
tsvm_comparison_1_10.py	PY	4.9 KB
tsvm_comparison_svm.py	PY	2.24 KB

Chapter05

label_propagation.py	PY	2.63 KB
label_propagation_scikit_learn.py	PY	1.57 KB
label_spreading.py	PY	1.58 KB
laplacian_regularization.py	PY	2.94 KB
markov_random_walk.py	PY	2.47 KB

Chapter06

evaluation_metrics.py	PY	2.07 KB
k_nearest_neighbors.py	PY	961 B
kmeans.py	PY	2.15 KB

Chapter07

dbscan.py	PY	3.18 KB
fuzzy_cmeans.py	PY	1.56 KB
spectral_clustering.py	PY	2.08 KB

Chapter08

	apriori.py	PY	1.14 KB
	biclustering.py	PY	1.99 KB

Chapter09

huber_regression.py	PY	1.49 KB
isotonic_regression.py	PY	1.36 KB
linear_regression.py	PY	1.74 KB
logistic_regression.py	PY	1.42 KB
polynomial_regression.py	PY	2.97 KB
ridge_regression.py	PY	2.63 KB

Chapter10

energydata_complete.csv	CSV	11.41 MB
smoothing.py	PY	1.18 KB
tsa.py	PY	2.72 KB
tsa_arima.py	PY	1.21 KB

Chapter11

hmm.py	PY	3.51 KB
metropolis-hastings-sampling.py	PY	1.31 KB
pymc3_sampling.py	PY	2.24 KB
stan_example.py	PY	2.64 KB

Chapter12

bayesian_gaussian_mixture.py	PY	855 B
gaussian_mixture.py	PY	2.23 KB
parameter_estimation.py	PY	623 B

Chapter13

dcgan.py	PY	5.75 KB
factor_analysis.py	PY	2.02 KB
ica.py	PY	1.44 KB
kernel_pca.py	PY	1.21 KB
pca.py	PY	1.6 KB
sparse_pca.py	PY	1.11 KB
wgan.py	PY	5.87 KB

Chapter14

SOM.py	PY	3.15 KB
covariance_rule.py	PY	1.76 KB
hebb_rule-extra.py	PY	961 B
rubner_tavan_network.py	PY	2.67 KB
sanger_network.py	PY	2.41 KB

Chapter15

	adaboost.py	PY	3.67 KB
	random_forest.py	PY	4.47 KB

Chapter16

gradient_tree_boosting.py	PY	2.04 KB
voting_classifiers.py	PY	1.98 KB
xgboost.py	PY	1.37 KB

Chapter17

	mlp.py	PY	2.58 KB
	perceptron.py	PY	2.4 KB

Chapter18

	batch_normalization.py	PY	2.54 KB
	dropout.py	PY	4.65 KB

Chapter19

	dcn.py	PY	3.61 KB
	dcn_da.py	PY	4.42 KB

Chapter20

recurrent.py

2.68 KB

Chapter21

dca.py	PY	4.52 KB
denoising_dca.py	PY	4.73 KB
sparse_dca.py	PY	4.55 KB
variational_dca.py	PY	4.75 KB

Chapter22

	dcgan.py	PY	5.75 KB
	wgan.py	PY	5.87 KB

Chapter23

	supervised_dbn.py	PY	1.32 KB
	unsupervised_dbn.py	PY	1.82 KB

Chapter24

policy_iteration.py	PY	5.66 KB
td0.py	PY	6.13 KB
value_iteration.py	PY	6.05 KB

Chapter25

actor_critic_td0.py	PY	5.67 KB
policy_gradient.py	PY	3.46 KB
q_learning.py	PY	4.77 KB
q_learning_nn.py	PY	8.23 KB
sarsa.py	PY	4.84 KB
td_lambda.py	PY	7.53 KB

Software and hardware list.pdf

PDF

153.15 KB

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Bonaccorso G Mastering Machine Learning Algorithms 2ed 2020

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