wehub-resource-sync
19 lines
1.5 KiB
Markdown
19 lines
1.5 KiB
Markdown
# Image Gallery
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This previous image gallery have been removed to avoid duplication and to keep the file size of this GitHub repository slim, since the high-res version of these images are now embedded in the Jupyter notebooks themselves in the [code](../../code/) directory.
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Below are the links to the respective images by chapter:
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- [ch01](../../code/ch01/images) - Machine Learning - Giving Computers the Ability to Learn from Data
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- [ch02](../../code/ch02/images) - Training Machine Learning Algorithms for Classification
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- [ch03](../../code/ch03/images) - A Tour of Machine Learning Classifiers Using Scikit-Learn
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- [ch04](../../code/ch04/images) - Building Good Training Sets - Data Pre-Processing
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- [ch05](../../code/ch05/images) - Compressing Data via Dimensionality Reduction
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- [ch06](../../code/ch06/images) - Learning Best Practices for Model Evaluation and Hyperparameter Optimization
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- [ch07](../../code/ch07/images) - Combining Different Models for Ensemble Learning
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- [ch08](../../code/ch08/images) - Applying Machine Learning to Sentiment Analysis
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- [ch09](../../code/ch09/images) - Embedding a Machine Learning Model into a Web Application
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- [ch10](../../code/ch10/images) - Predicting Continuous Target Variables with Regression Analysis
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- [ch11](../../code/ch11/images) - Working with Unlabeled Data – Clustering Analysis
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- [ch12](../../code/ch12/images) - Training Artificial Neural Networks for Image Recognition
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- [ch13](../../code/ch13/images) - Parallelizing Neural Network Training via Theano |