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【文档书籍】 Geron A. - Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd edition - 2019.pdf

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Geron A. - Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd edition - 2019.pdf 56.6 MB

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【压缩文件】 Python 3 Advanced Computer Vision with OpenCV & Scikit-image

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【文档书籍】 [NulledPremium.com] Hands-on Machine Learning with Scikit-Learn

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Aurélien Géron - Hands on Machine Learning with Scikit Learn Keras and TensorFlow. 2nd Edition-O’Reilly Media (2019).epub 37.1 MB
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【文档书籍】 Raschka S. Machine Learning with PyTorch and Scikit-Learn 2022

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【文档书籍】 Geron A. - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 2022

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Geron A. - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 2022.pdf 71.8 MB
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【文档书籍】 Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023

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Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023.epub 63.5 MB
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【其他】 Hands-On Machine Learning with Scikit-Learn and TensorFlow_ Concepts, Tools, and Techniques

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【文档书籍】 Орельен Жерон Прикладное машинное обучение с помощью Scikit-Learn и TensorFlow.pdf

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Орельен Жерон Прикладное машинное обучение с помощью Scikit-Learn и TensorFlow.pdf 44.6 MB

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【其他】 Aurelien Geron - Hands On Machine Learning with Scikit-Learn and TensorFlow - 2017

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Aurelien Geron - Hands On Machine Learning with Scikit-Learn and TensorFlow - 2017.mobi 26.2 MB
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【压缩文件】 Pluralsight Path. Building Machine Learning Solutions with scikit-learn (2019)

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【文档书籍】 [ DevCourseWeb.com ] Machine Learning - A Guide to PyTorch, TensorFlow, and Scikit-Learn - Mastering Machine Learning With Python

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【压缩文件】 O'Reilly - Advanced Machine Learning with scikit learn

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Working Files/Advanced_Machine_Learning_with_scikit_learn_Working_Files.zip 60.3 MB
02. Model Complexity, Overfitting And Underfitting/02_02-Linear Models InDepth.mp4 35.2 MB
01. Introduction/01_03-The Classifier Interface.mp4 28.5 MB
01. Introduction/01_11-How To Access Your Working Files.mp4 27.7 MB
07. Handling Text Data/07_03-Text Classification For Sentiment Analysis Part 1.mp4 26.6 MB
01. Introduction/01_06-The Cluster Interface.mp4 23.4 MB
02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4 22.9 MB
05. Model Selection For Unsupervised Learning/05_01-Guidelines For Unsupervised Model Selection.mp4 22.7 MB
04. Advanced Metrics And Imbalanced Classes/04_01-Be Mindful Of Default Metrics.mp4 21.6 MB
04. Advanced Metrics And Imbalanced Classes/04_04-Defining Custom Metrics.mp4 21.4 MB
01. Introduction/01_09-CrossValidation With Cross_Val_Score.mp4 21.3 MB
04. Advanced Metrics And Imbalanced Classes/04_03-AUC.mp4 20.6 MB
01. Introduction/01_10-Parameter Searches With GridSearchCV.mp4 20.3 MB
07. Handling Text Data/07_02-BagOfWords Representations.mp4 20.0 MB
03. Pipelines/03_02-Defining A Pipeline And Basic Usage.mp4 20.0 MB
06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_01-Why Real Data Is Messy.mp4 20.0 MB
08. Out Of Core Learning/08_05-Application OutOfCore Text Classification.mp4 19.3 MB
08. Out Of Core Learning/08_04-Subsample And Transform Supervised Transformations For Out Of Core Learning.mp4 19.2 MB
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【影视】 Egghead - Introductory Machine Learning Algorithms in Python with scikit-learn [AhLaN]

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05-Implement a Naive Bayes Classifier in Python and Scikit-learn to Categorize Text.mp4 16.9 MB
06-Implement Decision Trees in Python with Scikit-learn.mp4 16.6 MB
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02-Predict Categories in Python using Scikit-learn's Logistic Regression module.mp4 12.4 MB
04-Use K-nearest Neighbors To Find Similar Datapoints with Python and Scikit-learn.mp4 11.3 MB
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【压缩文件】 Artificial Intelligence #5 MLP Networks with Scikit & Keras

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【影视】 [ FreeCourseWeb.com ] Udemy - Machine Learning with SciKit-Learn with Python

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~Get Your Files Here !/9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
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【影视】 [GigaCourse.Com] Udemy - Machine Learning with SciKit-Learn with Python

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9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
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【压缩文件】 [ DevCourseWeb.com ] Udemy - Hands-On Machine Learning with scikit-learn and Python.zip

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【影视】 Building Image Processing Applications Using scikit-image (Janani Ravi, 2018)

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4. Segmentation and Transformation/10. Comparing Images Using MSE and SSIM.mp4 23.2 MB
exercise.7z 21.8 MB
3. Object and Feature Detection/7. Applying Denoising Filters.mp4 17.2 MB
3. Object and Feature Detection/9. Filling Holes and Finding Peaks Using Erosion and Dilation.mp4 17.0 MB
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4. Segmentation and Transformation/05. Segmentation and Merging Segments Using Rags.mp4 11.9 MB
2. Working with Image Data/14. Canny Edge Detection.mp4 11.1 MB
2. Working with Image Data/10. Contours.mp4 10.6 MB
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3. Object and Feature Detection/4. Visualizing Hog Feature Descriptors.mp4 9.6 MB
3. Object and Feature Detection/3. Visualizing Daisy Descriptors on Images.mp4 9.5 MB
2. Working with Image Data/09. Block Views and Pooling Operations.mp4 9.1 MB
2. Working with Image Data/07. Masking Color Images.mp4 8.4 MB
4. Segmentation and Transformation/07. Segmentation Using Classic and Compact Watershed.mp4 7.9 MB
2. Working with Image Data/06. Masking Images Using Array Manipulation.mp4 7.8 MB
2. Working with Image Data/04. Introducing scikit-image.mp4 6.6 MB
2. Working with Image Data/11. Convex Hull.mp4 5.3 MB
2. Working with Image Data/12. Edge Detection.mp4 4.8 MB

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