Backlinks
| Referring page | DR | Ref. domains | Linked domains | Anchor and target URL |
|---|---|---|---|---|
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EnqueueTPUEmbeddingBatch | TensorFlow v2.14.0
https://www.tensorflow.org/versions/r2.14/api_docs/java/org/tensorflow/op/core/EnqueueTPUEmbeddingBatch
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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tensorflow::ops::ResourceApplyMomentum Class Reference | TensorFlow v2.16.1
https://tensorflow.google.cn/api_docs/cc/class/tensorflow/ops/resource-apply-momentum?authuser=1
tensorflow.google.cn
|
17 | 30 | 414 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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Teilzeit Data Science Bootcamp & Intensivkurs in Frankfurt | Constructor Nex...
https://nexademy.org/de/data-science/part-time/frankfurt
nexademy.org
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8 | 2 | 144 |
Numpy
https://numpy.org/
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statsmodels.graphics.tsaplots.plot_accf_grid - statsmodels 0.15.0 (+900)
https://www.statsmodels.org/dev/generated/statsmodels.graphics.tsaplots.plot_accf_grid.html
statsmodels.org
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73 | 105 | 42 |
scalar
https://numpy.org/doc/stable/reference/arrays.scalars.html
DOFOLLOW
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statsmodels.graphics.tsaplots.plot_accf_grid - statsmodels 0.15.0 (+900)
https://www.statsmodels.org/dev/generated/statsmodels.graphics.tsaplots.plot_accf_grid.html
statsmodels.org
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73 | 105 | 42 |
array_like
https://numpy.org/doc/stable/glossary.html
DOFOLLOW
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tf.compat.v1.disable_resource_variables | TensorFlow v2.15.0.post1
https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/compat/v1/disable_resource_variables?authuser=2
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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tf.compat.v1.convert_to_tensor_or_sparse_tensor | TensorFlow v2.15.0.post1
https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/compat/v1/convert_to_tensor_or_sparse_tensor?authuser=2
tensorflow.org
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81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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pandas.Series.to_list — pandas 1.2.2 documentation
https://pandas.pydata.org/pandas-docs/version/1.2.2/reference/api/pandas.Series.to_list.html
pandas.pydata.org
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80 | 1,095 | 219 |
numpy.ndarray.tolist
https://numpy.org/doc/stable/reference/generated/numpy.ndarray.tolist.html
DOFOLLOW
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Concat | TensorFlow v2.13.1
https://www.tensorflow.org/versions/r2.13/api_docs/java/org/tensorflow/op/core/Concat
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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tensorflow::ops::Conv2D Class Reference | TensorFlow v2.13.1
https://tensorflow.google.cn/versions/r2.13/api_docs/cc/class/tensorflow/ops/conv2-d
tensorflow.google.cn
|
17 | 30 | 414 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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StatefulUniformInt | TensorFlow v2.7.4
https://www.tensorflow.org/versions/r2.7/api_docs/java/org/tensorflow/op/core/StatefulUniformInt
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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tensorflow::ops::Assert::Attrs Struct Reference | TensorFlow v2.8.4
https://tensorflow.google.cn/versions/r2.8/api_docs/cc/struct/tensorflow/ops/assert/attrs
tensorflow.google.cn
|
17 | 30 | 414 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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tensorflow::ops::Assign::Attrs Struct Reference | TensorFlow v2.6.0
https://www.tensorflow.org/versions/r2.6/api_docs/cc/struct/tensorflow/ops/assign/attrs?authuser=0
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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pandas.Series.tolist — pandas 1.1.5 documentation
https://pandas.pydata.org/pandas-docs/version/1.1.5/reference/api/pandas.Series.tolist.html
pandas.pydata.org
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80 | 1,095 | 219 |
numpy.ndarray.tolist
https://numpy.org/doc/stable/reference/generated/numpy.ndarray.tolist.html
DOFOLLOW
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tensorflow::ops::Sum Class Reference | TensorFlow v2.14.0
https://www.tensorflow.org/versions/r2.14/api_docs/cc/class/tensorflow/ops/sum
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.zeros_like
https://numpy.org/doc/stable/reference/generated/numpy.zeros_like.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.linspace
https://numpy.org/doc/stable/reference/generated/numpy.linspace.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.flatnonzero
https://numpy.org/doc/stable/reference/generated/numpy.flatnonzero.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.logical_or
https://numpy.org/doc/stable/reference/generated/numpy.logical_or.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.average
https://numpy.org/doc/stable/reference/generated/numpy.average.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.unique
https://numpy.org/doc/stable/reference/generated/numpy.unique.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.concatenate
https://numpy.org/doc/stable/reference/generated/numpy.concatenate.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.interp
https://numpy.org/doc/stable/reference/generated/numpy.interp.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
np.random.RandomState
https://numpy.org/doc/stable/reference/random/legacy.html
DOFOLLOW
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Multiclass Receiver Operating Characteristic (ROC) — scikit-learn 1.9.dev0 do...
https://scikit-learn.org/dev/auto_examples/model_selection/plot_roc.html
scikit-learn.org
|
80 | 1,185 | 231 |
numpy.ravel
https://numpy.org/doc/stable/reference/generated/numpy.ravel.html
DOFOLLOW
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RiscReverse | TensorFlow v2.10.1
tensorflow.google.cn
|
17 | 30 | 414 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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tensorflow::ops::QuantizeAndDequantizeV4 Class Reference | TensorFlow v2.16.1
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/quantize-and-dequantize-v4?authuser=7
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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tensorflow::ops::ApplyPowerSign Class Reference | TensorFlow v2.16.1
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/apply-power-sign?authuser=3
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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Constructing a Advice System Using Machine Learning | BARD AI
https://bardai.ai/2023/03/12/constructing-a-advice-system-using-machine-learning
bardai.ai
|
6 | 1 | 410 |
NumPy
https://numpy.org/
DOFOLLOW
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statsmodels.discrete.discrete_model.BinaryResults.wald_test_terms - statsmode...
https://www.statsmodels.org/devel/generated/statsmodels.discrete.discrete_model.BinaryResults.wald_test_terms.html
statsmodels.org
|
73 | 105 | 42 |
ndarray
https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html
DOFOLLOW
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tensorflow::ops::ResizeBicubic Class Reference | TensorFlow v2.13.1
https://tensorflow.google.cn/versions/r2.13/api_docs/cc/class/tensorflow/ops/resize-bicubic
tensorflow.google.cn
|
17 | 30 | 414 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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10 steps on the road to Deep Learning (part 1)
https://www.julien.org/blog/aws-medium-posts-and-images/2018/2018-01-12_10-steps-on-the-road-to-Deep-Learning--part-1-
julien.org
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— | 0 | 243 |
Numpy
http://www.numpy.org/
DOFOLLOW
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Module: tfm.vision.decoders | TensorFlow v2.16.1
https://tensorflow.google.cn/api_docs/python/tfm/vision/decoders
tensorflow.google.cn
|
17 | 30 | 414 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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statsmodels.miscmodels.ordinal_model.OrderedResults.get_prediction - statsmod...
https://www.statsmodels.org/devel/generated/statsmodels.miscmodels.ordinal_model.OrderedResults.get_prediction.html
statsmodels.org
|
73 | 105 | 42 |
array_like
https://numpy.org/doc/stable/glossary.html
DOFOLLOW
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statsmodels.miscmodels.ordinal_model.OrderedResults.get_prediction - statsmod...
https://www.statsmodels.org/devel/generated/statsmodels.miscmodels.ordinal_model.OrderedResults.get_prediction.html
statsmodels.org
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73 | 105 | 42 |
ndarray
https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html
DOFOLLOW
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c - PixLab Blog
https://blog.pixlab.io/tag/c
blog.pixlab.io
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52 | 3 | 71 |
NumPY
http://www.numpy.org/
DOFOLLOW
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RetrieveTPUEmbeddingAdagradMomentumParameters.Options | TensorFlow v2.8.4
https://www.tensorflow.org/versions/r2.8/api_docs/java/org/tensorflow/op/core/RetrieveTPUEmbeddingAdagradMomentumParameters.Options
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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7 библиотек Python для вашего первого проекта по науке о данных
https://nuancesprog.ru/p/11508
nuancesprog.ru
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9 | 4 | 827 |
здесь
https://numpy.org/
DOFOLLOW
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tf.raw_ops.MatrixSetDiagV3 | TensorFlow v2.15.0.post1
https://tensorflow.google.cn/versions/r2.15/api_docs/python/tf/raw_ops/MatrixSetDiagV3
tensorflow.google.cn
|
17 | 30 | 414 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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ExperimentalStatsAggregatorHandle | TensorFlow v2.8.4
https://www.tensorflow.org/versions/r2.8/api_docs/java/org/tensorflow/op/core/ExperimentalStatsAggregatorHandle
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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越智花凛/DataScience - ソーシャルデザイン学科
http://design.kyusan-u.ac.jp/socialdesign?越智花凛/DataScience
design.kyusan-u.ac.jp
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57 | 6 | 7 |
https://numpy.org/
https://numpy.org/
NOFOLLOW
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tensorflow::ops::TensorArrayClose Class Reference | TensorFlow v2.11.1
https://www.tensorflow.org/versions/r2.11/api_docs/cc/class/tensorflow/ops/tensor-array-close?authuser=4
tensorflow.org
|
81 | 1,804 | 569 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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statsmodels.tsa.statespace.mlemodel.MLEResults.conf_int - statsmodels 0.15.0 ...
https://www.statsmodels.org/devel/generated/statsmodels.tsa.statespace.mlemodel.MLEResults.conf_int.html
statsmodels.org
|
73 | 105 | 42 |
array_like
https://numpy.org/doc/stable/glossary.html
DOFOLLOW
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tensorflow::ops::Asin Class Reference | TensorFlow v2.5.0
tensorflow.google.cn
|
17 | 30 | 414 |
numpy license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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NumPy: Details, Reviews, Pricing, & Features | CheckThat.aiNumPy: Details, Re...
https://checkthat.ai/brands/numpy
checkthat.ai
|
10 | 5 | 1,427 |
Core mathematical functionality
https://numpy.org/doc/stable/user/whatisnumpy.html
DOFOLLOW
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NumPy: Details, Reviews, Pricing, & Features | CheckThat.aiNumPy: Details, Re...
https://checkthat.ai/brands/numpy
checkthat.ai
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10 | 5 | 1,427 |
2020 community survey
https://numpy.org/surveys/NumPy_usersurvey_2020_report.pdf
DOFOLLOW
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NumPy: Details, Reviews, Pricing, & Features | CheckThat.aiNumPy: Details, Re...
https://checkthat.ai/brands/numpy
checkthat.ai
|
10 | 5 | 1,427 |
fiscally sponsored by NumFOCUS
https://numpy.org/doc/2.0/dev/governance/governance.html
DOFOLLOW
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NumPy: Details, Reviews, Pricing, & Features | CheckThat.aiNumPy: Details, Re...
https://checkthat.ai/brands/numpy
checkthat.ai
|
10 | 5 | 1,427 |
modified BSD license
https://numpy.org/doc/stable/license.html
DOFOLLOW
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NumPy: Details, Reviews, Pricing, & Features | CheckThat.aiNumPy: Details, Re...
https://checkthat.ai/brands/numpy
checkthat.ai
|
10 | 5 | 1,427 |
multi-dimensional array data structures
https://numpy.org/doc/stable/user/absolute_beginners.html
DOFOLLOW
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NumPy: Details, Reviews, Pricing, & Features | CheckThat.aiNumPy: Details, Re...
https://checkthat.ai/brands/numpy
checkthat.ai
|
10 | 5 | 1,427 |
optimized for CPU-bound operations
https://numpy.org/doc/stable
DOFOLLOW
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Frequently Asked Questions
How many backlinks does numpy.org have?
The backlinks page for numpy.org shows all individual inbound links discovered in our crawl of the web. Each backlink represents a hyperlink on another website that points to a page on numpy.org. Use the filters to narrow results by dofollow/nofollow status, domain rating, or anchor text.
What is a backlink?
A backlink is a hyperlink on one website that points to a page on a different website. Backlinks are one of the most important ranking factors in search engine algorithms because they act as votes of confidence from other sites. The more high-quality backlinks a domain has, the more authority search engines assign to it.
Are the backlinks to numpy.org dofollow or nofollow?
Backlinks to numpy.org include both dofollow and nofollow links. Dofollow links pass link equity (ranking power) to the target site, while nofollow links include a rel="nofollow" attribute that tells search engines not to pass authority. Both types contribute to a natural backlink profile, but dofollow links carry more SEO weight. You can filter by link type using the rel filter above the table.
How often is backlink data updated?
Backlink data is updated monthly when our web crawler completes a new cycle. Our pipeline processes billions of web pages to discover new backlinks, track lost links, and update domain authority scores. The freshness of data depends on when our crawler last visited the referring pages.