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www.machinelearningcookbook.com/
Machinelearningcookbook.com
Most Used Html Elements
- <div> : 251
- <li> : 153
- <a> : 134
- <ul> : 84
- <br> : 44
- <link> : 25
- <i> : 14
- <script> : 13
- <b> : 11
- <meta> : 7
- <style> : 4
- <img> : 3
- <p> : 2
- <pre> : 2
- <sup> : 2
Most Used Html Classes
- "\\\"description\\\"" : 57
- "\\\"tw_examples\\\"" : 50
- "\\\"tw_cat\\\"" : 48
- "\\\"tw_ingredients\\..." : 39
- "\\\"tw_method\\\"" : 39
- "\\\"tw_cat_text" : 5
- "page_item" : 4
- "clearfix" : 3
Where is www.machinelearningcookbook.com hosted?
Country:
United States
City:
Austin
Registrar:
eNom, Inc.
Latitude:
30.27
Longitude:
-97.87
IP address:
198.54.116.185
IP Binary address:
11000110001101100111010010111001
IP Octal address:
30615472271
IP Hexadecimal address:
c63674b9
Context analysis of machinelearningcookbook.com
Number of letters on this page:
241
Number of words on this page:
48
Number of sentences on this page:
5
Average words per sentences on this page:
10
Number of syllables on this page:
72
Number of Bold texts:
11
Number of Italic texts:
14
Domain name architecture
Domain name length:
27
Hyphens:
Domain doesn't contain hyphens!
Domain name with Hindi letters:
म अ च (h) इ ञ ए ल ए अ र ञ इ ञ ग च ओ ओ क (b) ओ ओ क . च ओ म
Domain name with Hebrew letters:
מ (a) ק(c) ה (i) נ (e) ל (e) (a) ר נ (i) נ ג ק(c) (ο) (ο) ק(k) בּ (ο) (ο) ק(k) . ק(c) (ο) מ
Domain name with Cyrillic letters:
м a ц х и н e л e a р н и н г ц о о к б о о к . ц о м
Domain name with Arabic letters:
م ا (c) ح (i) ن (e) ل (e) ا ر ن (i) ن غ (c) (o) (o) ك ب (o) (o) ك . (c) (o) م
Domain name with Greek letters:
μ α χ (h) ι ν ε λ ε α ρ ν ι ν γ χ ο ο κ ο ο κ . χ ο μ
Domain name with Chinese letters:
艾马 诶 西 艾尺 艾 艾娜 伊 艾勒 伊 诶 艾儿 艾娜 艾 艾娜 吉 西 哦 哦 开 比 哦 哦 开 . 西 哦 艾马
Domain without Consonants:
mchnlrnngckbk.cm
Domain without Vowels:
aieeaioooo.o
Alphabet positions:
m13 a1 c3 h8 i9 n14 e5 l12 e5 a1 r18 n14 i9 n14 g7 c3 o15 o15 k11 b2 o15 o15 k11 . c3 o15 m13
Domain name pattern:
V: Vowel, C: Consonant, N: Number
V: Vowel, C: Consonant, N: Number
C V C C V C V C V V C C V C C C V V C C V V C . C V C
<HEAD> DATA INFORMATION
Encoding:
utf-8
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width=device-width
robots:
noindex,follow
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WordPress 4.6.6
msapplication-TileImage:
http://machinelearningcookbook.com/wp-content/uploads/11/cropped-brain-icon-png-15-1-768x768-270x270.png
Internal links in machinelearningcookbook.com
- http://machinelearningcookbook.com
- \\\"https://github.com/NVIDIA/DIGITS/blob/master/docs/GettingStarted.md\\\"
- \\\"https://www.tensorflow.org/versions/r0.9/how_tos/image_retraining/index.html\\\"
- \\\"https://github.com/NVIDIA/DIGITS/tree/master/examples/regression\\\"
- \\\"https://github.com/tensorflow/models/blob/master/slim/slim_walkthough.ipynb\\\"
- \\\"https://github.com/NVIDIA/DIGITS/tree/master/examples/binary-segmentation\\\"
- \\\"https://github.com/NVIDIA/DIGITS/tree/master/examples/medical-imaging\\\"
- \\\"https://en.wikipedia.org/wiki/Similarity_learning\\\"
- \\\"https://github.com/davidsandberg/facenet\\\"
- \\\"\\\"https://github.com/pavelgonchar/colornet\\\"\\\"
- \\\"https://github.com/torch/demos/blob/master/train-a-digit-classifier/train-on-mnist.lua\\\"
- \\\"https://github.com/NVIDIA/DIGITS/tree/master/examples/autoencoder\\\"
- \\\"https://github.com/pavelgonchar/face-transfer-tensorflow\\\"
- \\\"http://scikit-learn.org/stable/tutorial/statistical_inference/unsupervised_learning.html\\\"
- \\\"https://en.wikipedia.org/wiki/Naive_Bayes_classifier\\\"
- \\\"https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Gaussian_naive_Bayes\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html\\\"
- \\\"https://en.wikipedia.org/wiki/Linear_classifier\\\"
- \\\"https://en.wikipedia.org/wiki/Support_vector_machine\\\"
- \\\"https://en.wikipedia.org/wiki/Logistic_regression\\\"
- \\\"https://en.wikipedia.org/wiki/Support_vector_machine#Linear_SVM\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html\\\"
- \\\"https://en.wikipedia.org/wiki/Receiver_operating_characteristic#Curves_in_ROC_space\\\"
- \\\"https://en.wikipedia.org/wiki/Type_I_and_type_II_errors\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html\\\"
- \\\"https://github.com/NVIDIA/DIGITS/tree/master/examples/object-detection\\\"
- \\\"http://docs.opencv.org/trunk/dc/d88/tutorial_traincascade.html\\\"
- \\\"https://en.wikipedia.org/wiki/Support_vector_machine#Nonlinear_classification\\\"
- \\\"https://en.wikipedia.org/wiki/Random_forest\\\"
- \\\"https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html\\\"
- \\\"https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Bernoulli_naive_Bayes\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html\\\"
- \\\"https://en.wikipedia.org/wiki/Decision_tree_learning\\\"
- \\\"https://en.wikipedia.org/wiki/Ensemble_learning\\\"
- \\\"http://sebastianraschka.com/Articles/2014_naive_bayes_1.html\\\"
- \\\"http://www.nltk.org/book/ch06.html\\\"
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- \\\"https://en.wikipedia.org/wiki/Regression_analysis\\\"
- \\\"https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-ridge-lasso-regression-python/\\\"
- \\\"https://en.wikipedia.org/wiki/Linear_regression\\\"
- \\\"https://en.wikipedia.org/wiki/Polynomial_regression\\\"
- \\\"https://en.wikipedia.org/wiki/Nonlinear_regression\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html\\\"
- \\\"https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.optimize.curve_fit.html\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html\\\"
- \\\"http://blog.datadive.net/random-forest-interpretation-with-scikit-learn/\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html\\\"
- \\\"https://en.wikipedia.org/wiki/K-means_clustering\\\"
- \\\"http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html\\\"
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- \\\"https://statistics.laerd.com/statistical-guides/one-way-anova-statistical-guide.php\\\"
- \\\"http://www.marsja.se/four-ways-to-conduct-one-way-anovas-using-python/\\\"
- \\\"https://en.wikipedia.org/wiki/Jaccard_index\\\"
- \\\"http://www.nltk.org/book/ch03.html\\\"
- \\\"http://www.danielnaber.de/jwordsplitter/index_en.html\\\"
- \\\"https://en.wikipedia.org/wiki/Tf%E2%80%93idf\\\"
- \\\"https://github.com/facebookresearch/fastText\\\"
- \\\"http://nlp.stanford.edu/software/segmenter.shtml\\\"
- \\\"https://github.com/optimaize/language-detector\\\"
- \\\"http://www.statmt.org/europarl/\\\"
- \\\"https://www.r-bloggers.com/r-k-means-clustering-on-an-image/\\\"
- \\\"https://en.wikipedia.org/wiki/Word_embedding\\\"
- \\\"http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/\\\"
- \\\"https://en.wikipedia.org/wiki/N-gram\\\"
- \\\"https://github.com/wikilinks/nel\\\"
- \\\"http://locallyoptimal.com/blog/2013/01/20/elegant-n-gram-generation-in-python/\\\"
- \\\"https://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient\\\"
- \\\"http://nel.readthedocs.io/en/latest/\\\"
- \\\"http://www.nltk.org/howto/sentiment.html\\\"
- \\\"http://brandonrose.org/clustering\\\"
- \\\"http://www.nltk.org/book/ch07.html\\\"
- \\\"http://methodi.ca/recipes/index-text-files-python-rapid-information-retrieval\\\"
- \\\"https://github.com/joestelmach/natty\\\"
- \\\"http://natty.joestelmach.com/\\\"
- \\\"https://en.wikipedia.org/wiki/Recurrent_neural_network\\\"
- \\\"https://github.com/tensorflow/models/tree/master/syntaxnet\\\"
- \\\"https://www.tensorflow.org/tutorials/seq2seq/\\\"
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