Bonaccorso Mastering Machine Learning Algorithms 2ed 2020 | 8FBD477421B2D99F59E35247764FC40F401F4A5A

Bonaccorso Mastering Machine Learning Algorithms 2ed 2020

Name	Bonaccorso G. Mastering Machine Learning Algorithms 2ed 2020	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	21.8 MB
Total Files	98
Hash	8FBD477421B2D99F59E35247764FC40F401F4A5A

/Code Files/Chapter12/
parameter_estimation.py	0.6 KB
bayesian_gaussian_mixture.py	0.9 KB
gaussian_mixture.py	2.3 KB
/Code Files/Chapter01/
dataset_splitting.py	0.7 KB
normalization.py	1.0 KB
whitening.py	1.3 KB
cross_validation_2.py	1.4 KB
regularization.py	1.5 KB
scaling.py	1.7 KB
cross_validation.py	1.8 KB
/Code Files/Chapter14/
hebb_rule-extra.py	1.0 KB
covariance_rule.py	1.8 KB
sanger_network.py	2.5 KB
rubner_tavan_network.py	2.7 KB
SOM.py	3.2 KB
/Code Files/Chapter06/
k_nearest_neighbors.py	1.0 KB
evaluation_metrics.py	2.1 KB
kmeans.py	2.2 KB
/Code Files/Chapter13/
sparse_pca.py	1.1 KB
kernel_pca.py	1.2 KB
ica.py	1.5 KB
pca.py	1.6 KB
factor_analysis.py	2.1 KB
dcgan.py	5.9 KB
wgan.py	6.0 KB
/Code Files/Chapter08/
apriori.py	1.2 KB
biclustering.py	2.0 KB
/Code Files/Chapter10/
smoothing.py	1.2 KB
tsa_arima.py	1.2 KB
tsa.py	2.8 KB
energydata_complete.csv	12.0 MB
/Code Files/Chapter11/
metropolis-hastings-sampling.py	1.3 KB
pymc3_sampling.py	2.3 KB
stan_example.py	2.7 KB
hmm.py	3.6 KB
/Code Files/Chapter23/
supervised_dbn.py	1.4 KB
unsupervised_dbn.py	1.9 KB
/Code Files/Chapter09/
isotonic_regression.py	1.4 KB
logistic_regression.py	1.5 KB
huber_regression.py	1.5 KB
linear_regression.py	1.8 KB
ridge_regression.py	2.7 KB
polynomial_regression.py	3.0 KB
/Code Files/Chapter16/
xgboost.py	1.4 KB
voting_classifiers.py	2.0 KB
gradient_tree_boosting.py	2.1 KB
/Code Files/Chapter07/
fuzzy_cmeans.py	1.6 KB
spectral_clustering.py	2.1 KB
dbscan.py	3.3 KB
/Code Files/Chapter05/
label_propagation_scikit_learn.py	1.6 KB
label_spreading.py	1.6 KB
markov_random_walk.py	2.5 KB
label_propagation.py	2.7 KB
laplacian_regularization.py	3.0 KB
/Code Files/Chapter02/
self_training.py	1.7 KB
tsvm_comparison_svm.py	2.3 KB
cotraining.py	2.7 KB
cple.py	3.2 KB
generative_gaussian_mixtures.py	4.6 KB
tsvm.py	4.9 KB
tsvm_comparison_1_10.py	5.0 KB
tsvm_comparison_10_01.py	5.0 KB
s3vm.py	5.6 KB
/Code Files/Chapter03/
self_training.py	1.7 KB
cotraining.py	2.7 KB
generative_gaussian_mixtures.py	4.6 KB
/Code Files/Chapter04/
tsvm_comparison_svm.py	2.3 KB
cple.py	3.2 KB
tsvm.py	4.9 KB
tsvm_comparison_10_01.py	5.0 KB
tsvm_comparison_1_10.py	5.0 KB
s3vm.py	5.6 KB
/Code Files/Chapter17/
perceptron.py	2.5 KB
mlp.py	2.6 KB
/Code Files/Chapter18/
batch_normalization.py	2.6 KB
dropout.py	4.8 KB
/Code Files/Chapter20/
recurrent.py	2.7 KB
/Code Files/Chapter25/
policy_gradient.py	3.5 KB
q_learning.py	4.9 KB
sarsa.py	5.0 KB
actor_critic_td0.py	5.8 KB
td_lambda.py	7.7 KB
q_learning_nn.py	8.4 KB
/Code Files/Chapter19/
dcn.py	3.7 KB
dcn_da.py	4.5 KB
/Code Files/Chapter15/
adaboost.py	3.8 KB
random_forest.py	4.6 KB
/Code Files/Chapter21/
dca.py	4.6 KB
sparse_dca.py	4.7 KB
denoising_dca.py	4.8 KB
variational_dca.py	4.9 KB
/Code Files/Chapter24/
policy_iteration.py	5.8 KB
value_iteration.py	6.2 KB
td0.py	6.3 KB
/Code Files/Chapter22/
dcgan.py	5.9 KB
wgan.py	6.0 KB
/Code Files/
Software and hardware list.pdf	156.8 KB
/
Bonaccorso G. Mastering Machine Learning Algorithms 2ed 2020.djvu	9.4 MB
Total files 98